Description of MegaMatcher AFIS SDK MegaMatcher AFIS SDK is intended for development of large-scale AFIS for civil, law-enforcement and forensic apps. Matches rolled and flat fingerprints. Includes API for latent fingerprint editor and fault-tolerant scalable AFIS cluster software. MegaMatcher AFIS SDK is intended for development of large-scale AFIS for civil, law-enforcement and forensic apps. Matches rolled and flat fingerprints. Includes: API for latent fingerprint editor, fault-tolerant scalable AFIS cluster software and.NET components for rapid development of client side software.
WSQ library and modules for conversion between MegaMatcher template, ANSI/NIST ITL-1-2000 and ANSI/INCIST 378 2004 standards are included.MegaMatcher SDK uses MegaMatcher technology, which ensures high reliability of the fingerprint identification and ability to match rolled and flat fingerprints. The high productivity and efficiency is supported by both fast matching algorithm and scalable fault-tolerant computer cluster software, which allows to perform fast parallel fingerprint matching, processes high number of identification requests and handles databases with practically unlimited size. MegaMatcher SDK includes.NET components for rapid development of client side software. To ensure AFIS compatibility with other software, WSQ library is included, as well as modules for conversion between MegaMatcher template and ANSI standards (ANSI/NIST ITL-1-2000 and ANSI/INCIST 378 2004). MegaMatcher AFIS SDK 1.1 Download Tags: Files32.com collects software information directly from original developers using software submission form. Sometimes it can happen that software data are not complete or are outdated. You should confirm all information before relying on it.
Using crack, serial number, registration code, keygen and other warez or nulled soft is illegal (even downloading from torrent network) and could be considered as theft in your area. Files32 does not provide download link from Rapidshare, Yousendit, Mediafire, Filefactory and other Free file hosting service also. The software has been submitted by its publisher directly, not obtained from any Peer to Peer file sharing applications such as Shareaza, Limewire, Kazaa, Imesh, BearShare, Overnet, Morpheus, eDonkey, eMule, Ares, BitTorrent Azureus etc.
MegaMatcher SDK is intended for development of large-scale AFIS or multi-biometric face-fingerprint identification system on Linux or Windows for civil or forensic applications. MegaMatcher matches up to 400,000 records using reliable fused face-fingerprint algorithm with ability to use rolled fingerprints. WSQ format, ANSI/NIST ITL-1-2000, ANSI/INCITS 378-2004 and ISO/IEC 19794-2 standards are supported. The SDK includes: single server and scalable fault-tolerant matching cluster software, API for latent fingerprint template editing, fingerprint pattern classification and segmentation tools, and more components.NET components are included for rapid system development. Supported databases are: MySQL, Oracle, MS SQL Server and SQLite Webcams and more than 20 fingerprint scanners are supported, including Cross Match, Identix and DigitalPersona. The trial requires constant Internet connection during evaluation period.
Megamatcher On Card 10.0 SDK based on MegaMatcher multi-biometric AFIS technology offers matching-on-card technology that stores a person’s fingerprint, iris and face templates on a smart card and performs template matching in a microprocessor embedded in the card, instead of matching biometric information on a PC processor, and thus avoiding transfer of information to an external entity. It provides a number of advantages over a standard fingerprint / face / iris identification system or similar products for smart cards. Megamatcher On Card 10.0 SDK is developed utilizing a set of ISO/IEC standards to enable interoperability with and easy integration into existing smart card and/or biometric systems.
ON CARD MULTIBIOMETIC MATHCING ENGINE.fingerprint engine. MegaMatcher On Card algorithm for fi ngerprint matching on a smart card is compliant with the same NIST MINEX III criteria used to evaluate much more resource-intensive PC-based algorithms. NIST MINEX-compliant fingerprint engine MegaMatcher On Card algorithm for fingerprint matching on a smart card is compliant with the same NIST MINEX III criteria used to evaluate much more resource-intensive PC-based algorithms. PC-like verification accuracy MegaMatcher On Card provides the same level of accuracy of an AFIS (automated fingerprint identification system) in a verification process using ISO/IEC 19794-2 compact card minutiae format templates together with the security of storage of biometric templates and matching algorithm on a smart card.
Face and iris modalities on-card verification precision conforms to the large scale multi-biometric MegaMatcher SDK accuracy rates of Neurotechnology’s compact format templates matching. Configurable verification modes MegaMatcher On Card fingerprint algorithm has different performance configurations that can be chosen according to the operating scenario, the requirements to matching accuracy, the smart card platform speed and memory constraints. Security Biometric verification can replace or be combined with less secure (e.g., PIN) authentication techniques to achieve higher security. Privacy The original template remains on the smart card, providing a safeguard against misuse of information or fraudulent scanning systems.
Multi-biometrics support The face and iris matching engines can be used as an additional or alternative factor of authentication that enhances the fingerprint verification. Fingerprint, iris and face templates can be stored on a single card together with the fingerprint, iris and face matching algorithms. ISO/IEC standards support MegaMatcher On Card 10.0 SDK is compliant with the following standards:. ISO/IEC 7816-3. ISO/IEC 7816-4.
ISO/IEC 7816-9. ISO/IEC 7816-11. ISO/IEC 19794-2 (compact size finger minutiae card format).
Easy integration with existing systems Megamatcher On Card 10.0 SDK is developed utilizing a set of ISO/IEC standards to enable interoperability with and easy integration into existing smart card and/or biometric systems. Can avoid emission of duplicates during biometric enrollment for card issuance with VeriFinger, VeriEye, VeriLook or MegaMatcher components that are fully compatible with MegaMatcher On Card. Customer benefitted by the chance of leveraging Neurotechnology proprietary templates format to improve the accuracy of duplicates searching and the surety of quality of the biometric data stored into the card. Different smart card platforms supported Can be integrated at different stages of the card life cycle for various smart cards platforms. The post-issuance library gives the possibility to rapidly integrate match-on-card in projects where time constraints are critical. On the other hand, the possibility to store the code directly into the ROM mask and the partnership with several card vendors offer a faster match-on-card solution and the possibility to maintain more EEPROM available for post-issuance applications. MegaMatcher On Card fingerprint matching engine MegaMatcher On Card 10.0 fingerprint matching engine performs fingerprint template matching in 1-to-1 mode (verification).
Being based on the MegaMatcher technology, the engine is tolerant to fingerprint rotations, translations and deformations. MegaMatcher On Card face matching engine MegaMatcher On Card 10.0 face matching engine performs face template matching in 1-to-1 mode (verification). MegaMatcher On Card iris matching engine MegaMatcher On Card 10.0 iris matching engine performs iris template matching in 1-to-1 mode (verification). Fingerprint Card Extractor component Fingerprint Card Extractor creates ISO 19794-2 fingerprint templates from fingerprint images. Face Card Extractor component Face Card Extractor creates face templates in proprietary format from face images. The Extractor can generalize a face template from several face images to improve the template’s quality.
The algorithm has also the ability to recognize whether a face in a video stream belongs to a real human or is a photo, in order to improve the overall security of the system. Iris Card Extractor component Iris Card Extractor creates iris templates in proprietary format from eye images. Device Manager Device Manager software allows to capture data from supported fingerprint readers, iris scanners, cameras and webcams.
Integrators can also write plug-ins to support their fingerprint readers, cameras or other devices using the plug-in framework provided with the Device Manager. System Requirements. PCor Mac with x86 (32bit) or x86-64 (64bit) compatible processors. 2 GHz or better processor is recommended. At least 128 MB of free RAM should be available for the application. Free space on hard disk drive (HDD):. at least 1 GB required for the development.
100 MB required for MegaMatcher On Card PC side components deployment. Smart card reader.An ISO/IEC 7816 compliant smart card reader is required.
Fingerprint scanner.MegaMatcher On Card 10.0 includes support modules for more than 80 fingerprint scanners and sensors under different platforms. Camera or webcam (optional)for face image capture.
MegaMatcher On Card 10.0 supports a number of high resolution cameras. Any other camera or webcam is supported by MegaMatcher On Card if it provides DirectShow interface for Windows platform or GStreamer interface for Linux or Mac OS X platform. Iris camera (optional)for iris image capture. MegaMatcher On Card 10.0 includes support modules for several iris cameras. Microsoft Windows specific requirements:. Microsoft Windows XP / Vista / 7 / 8 / 10, 32-bit or 64-bit. 32-bit platform may be recommended for applications with fingerprint readers, as certain models have only 32-bit support modules.
Microsoft.NET framework 3.5 or newer (for.NET components usage). One of the following development environments for application development:.
Microsoft Visual Studio 2008 SP1 or newer (for application development under C/C, C#, Visual Basic.NET). Sun Java 1.6 SDK or later. Linux specific requirements:. Linux 2.6 or newer kernel (32-bit or 64-bit) is required. Linux 3.0 or newer kernel is recommended. A smartphone or tablet that is running Android 4.0 (API level 14) OS or newer.
API level 19 is the recommended target for code compilation. If you have a custom Android-based device or development board, to find out if it is supported. ARM-based 5 GHz processor recommended for fast creation of fingerprint, face or iris compact template. Slower processors may be also used, but the processing of fingerprints, faces and irises will take longer time. At least 30 MB of free RAM should be available for the application.
Makehuman 2.0. The ultimate goal is to be able to quickly produce a wide array of realistic virtual humans with only a few clicks of the mouse and be able to render or export them for use in other projects. Makehuman is released under an Open Source Licence (AGPL) and is available for Windows, Mac OS X and Linux. The MakeHuman Team is focused on this specific branch of the broader subject in order to achieve the best possible level of quality and ease of use in that area.
Free storagespace (built-in flash or external memory card):. 30 MB required for MegaMatcher Android components deployment for each separate application.
Additional space may be required if an integrator would like to store original fingerprint, face or iris images. MegaMatcher On Card technology does not require the original fingerprint, face or iris images to be stored after capture.
Optionally, depending on biometric modalities and requirements:. A fingerprint reader. MegaMatcher On Card is able to work with several supported fingerprint readers under Android Integrators may also use image files or receive image data from external devices like flatbed scanners or other stand-alone cameras. A camera for face MegaMatcher On Card is able to work with all cameras that are supported by Android OS. At least 0.3 MegaPixel (640 x 480 pixels) camera is required for the MegaMatcher On Card template extraction algorithm. Integrators may also use image files or receive image data from external devices like flatbed scanners or stand-alone cameras.
An iris scanner. A project may require to capture iris images using some hand-held devices:. Iritech IriShield single iris camera is supported by the Megamatcher On Card 10.0 SDK under Android OS. MegaMatcher On Card technology also accepts irises for further processing as BMP, JPG or PNG images, thus almost any third-party iris capturing hardware can be used with the MegaMatcher technology if it generates image in the mentioned formats. Integrators may implement the iris scanner support by themselves or use the software provided by the scanners manufacturers. The integrators should note, that the most accurate iris recognition is achievable only when iris images are captured with near-infrared cameras and appropriate illumination. However, it is still possible to recognize irises with reasonable accuracy, when the irises are captured with cameras, which are built in smartphones or tablets, using proper illumination and focus, and choosing proper environment.
PC-side development environment requirements:. Java SE JDK 6 (or higher).
Eclipse Indigo (3.7) IDE. Android development environment (at least API level 14 required). One of the following build automation systems:. Apache Maven 3.1.xor newer. Gradle 2.10or newer. Internet connection for activating MegaMatcher On Card component licenses Supported Hardware.
These fingerprint scanners and sensors are supported by our biometric products. Each device has 500 ppi resolution, unless a different resolution is mentioned in the Notes column. Scanner Sensor technology Capture method Image capture area Image size (pixels) Notes 3M Cogent CSD 330 Optical Touch 1″ x 1″ 500 x 500 FIPS 201 PIV certified. Abilma UNITY Optical Roll or touch 5.0″ x 5.1″ Scans palm prints, up to 4 flat fingerprints simultaneously or single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS); Wi-Fi 802.11n connection. ACS AET62 Capacitive Sweep 0.38″ x 0.01″ 192 x 4 Embedded contactless smart card reader ACS AET65 Capacitive Sweep 0.38″ x 0.01″ 192 x 4 Embedded smart card reader ARH AFS 510 Optical Roll or touch 4″ x 3″ IAFIS IQS compliant. Scans up to 4 flat finger simultaneously.
Athena ASEDrive IIIe Combo Bio F2 Capacitive Touch 0.4″ x 0.6″ 208 x 288 Embedded smart card reader Atmel FingerChip sensor family Thermal Sweep 0.55″ x 0.02″ 280 x 8 BioLink U-Match MatchBook v.3.5 Optical Touch 0.6″ x 0.9″ Biometrika Fx2000 Optical Touch 0.5″ x 1.0″ 296 x 560 Biometrika Fx2100 Optical Touch 0.5″ x 1.0″ PIV certified. Biometrika Fx3000 Optical Touch 0.7″ x 1.0″ 400 x 560 Biometrika HiScan Optical Touch 1.0″ x 1.0″ 500 x 500 PIV / FIPS 201 certified Biometrika HiScan PRO Optical Touch 1.0″ x 1.0″ PIV certified. Credence ID Credence One Capacitive Touch 0.5″ x 0.7″ 256 x 360 Wi-Fi 802.11 a/b/g/n connection. Bluetooth 4.0 connection. Embedded smart card reader. Credence ID Trident Hybrid Roll or touch 1.6″ x 1.5″ Scans single or dual flat fingerprints, or single rolled fingerprints.
Wi-Fi 802.11 a/b/g/n connection. Bluetooth 4.0 connection.
Integrated dual iris scanner. Cross Match Guardian FW Optical Roll or touch 3.2″ x 3.0″ FBI Appendix F certified; Scans flat ten-prints and single rolled fingerprints. FireWire connection. Cross Match Guardian USB Optical Roll or touch 3.2″ x 3.0″ FBI Appendix F certified; Scans flat ten-prints and single rolled fingerprints. Cross Match Guardian-F USB Optical Touch 3.2″ x 3.0″ FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously. Cross Match L Scan 500P Optical Roll or touch 5.0″ x 5.1″ 2496 x 2560 Scans palm prints, up to 4 flat fingerprints simultaneously or single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS) Cross Match Patrol Optical Roll or touch 3.2″ x 3.0″ FBI Appendix F certified; Scans rolled fingerprints; Scans up to 4 flat fingerprints simultaneously. Cross Match Patrol ID Optical Touch 3.2″ x 3.0″ FBI Appendix F certified; Scans up to 4 flat fingerprints simultaneously.
Cross Match Verifier 300 Classic Optical Touch 1.2″ x 1.2″ Cross Match Verifier 300 LC Optical Touch 1.2″ x 1.2″ Cross Match Verifier 300 LC 2.0 Optical Touch 1.2″ x 1.2″ Cross Match Verifier 320 LC Optical Roll or touch 1.6″ x 1.5″ FBI IAFIS IQS and PIV certified; Scans 2 flat fingerprints simultaneously or 1 rolled. DERMALOG F1 Optical Touch 0.7″x1.0″ FIPS 201 PIV certified. DERMALOG LF10 Optical Roll or touch 3.2″ x 3.2″ FBI IQS Appendix F certified. Captures 4+4+2 flat fingerprints, and single rolled.
Spoof/liveness detection. DERMALOG ZF1 Optical Touch 0.6″ x 0.9″ 320 x 480 PIV / FIPS 201 certified; Includes live finger detection Digent FD1000 Optical Touch 0.6″ x 0.7″ 280 x 320 DigitalPersona EikonTouch 710 Capacitive Touch 0.5″ x 0.7″ 256 x 360 FIPS 201 certified DigitalPersona U.are.U 2000 Optical Touch 0.5″ x 0.7″ DigitalPersona U.are.U 4000 Module Optical Touch 0.6″ x 0.7″ DigitalPersona U.are.U 4000 scanner Optical Touch 0.6″ x 0.7″ DigitalPersona U.are.U 4500 scanner Optical Touch 0.6″ x 0.7″ DigitalPersona U.are.U 5100 Module Optical Touch 0.5″ x 0.6″ FIPS 201 PIV certified.
DigitalPersona U.are.U 5100 Reader Optical Touch 0.5″ x 0.6″ FIPS 201 PIV certified. DigitalPersona U.are.U 5160 Reader Optical Touch 0.5″ x 0.6″ FIPS 201 PIV certified. DigitalPersona U.are.U 5200 Module Optical Touch 0.6″ x 0.8″ FIPS 201 PIV certified. DigitalPersona (UPEK) Eikon Solo Capacitive Sweep 1.0″ x 0.3″ DigitalPersona (UPEK) EikonTouch 300 Capacitive Touch 0.4″ x 0.6″ 208 x 288 DigitalPersona (UPEK) EikonTouch 500 Capacitive Touch 0.5″ x 0.7″ 256 x 360 DigitalPersona (UPEK) EikonTouch 700 Capacitive Touch 0.5″ x 0.7″ 256 x 360 FIPS 201 certified Fujitsu MBF200 Capacitive Touch 0.5″ x 0.6″ 256 x 300 Fulcrum Biometrics mobileOne QuickDock Optical Touch 0.5″ x 0.7″ 256 x 360 Wi-Fi 802.11 b/g/n connection.
Apple Lightning connector. PIV / FIPS 201 compliant sensor. Futronic eFAM (FS84) Optical Touch 0.6″ x 0.9″ 320 x 480 Ethernet or serial connection. Futronic FS10 Optical Touch 1.0″ x 1.0″ 500 x 500 PIV / FIPS 201 certified Futronic FS26 Optical Touch 0.6″ x 0.9″ 320 x 480 Embedded MIFARE card reader/writer Futronic FS28 Optical Touch 0.6″ x 0.9″ 320 x 480 Bluetooth connection Futronic FS50 Optical Roll or touch 1.6″ x 1.5″ 800 x 750 Two finger scanner. FBI IQS certified, FIPS 201 / PIV compliant.
Futronic FS60 Optical Roll or touch 3.2″ x 3.0″ 1600 x 1500 Four finger scanner. FBI IQS IAFIS certified. Futronic FS64 Optical Roll or touch 3.2″ x 3.0″ 1600 x 1500 Scans up to 4 flat fingerprints simultaneously or single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS). Futronic FS80 Optical Touch 0.6″ x 0.9″ 320 x 480 Includes spoof detection Futronic FS80H Optical Touch 0.6″ x 0.9″ 320 x 480 Includes spoof detection Futronic FS82 Optical Touch 0.6″ x 0.9″ 320 x 480 Includes spoof detection Embedded smart card reader Futronic FS88 Optical Touch 0.6″ x 0.9″ 320 x 480 PIV / FIPS 201 certified Futronic FS88H Optical Touch 0.6″ x 0.9″ 320 x 480 PIV / FIPS 201 certified Futronic FS90 Optical Touch 0.6″ x 0.9″ 300 x 440 Green Bit DactyID20 Optical Touch 0.7″ x 0.8″ PIV-certified. Green Bit DactyScan40i Optical Roll or touch 1.6″ x 1.6″ FBI Appendix F and FIPS-201 / PIV certified. Scans dual flat fingerprints.
Green Bit DactyScan84c Optical Roll or touch 3.2″ x 3.0 FBI IQS compliant; Scans up to 4 flat fingerprints simultaneously. Green Bit DactyScan84n Optical Roll or touch 3.2″ x 3.0 FBI IQS compliant; Scans up to 4 flat fingerprints simultaneously. Green Bit MultiScan527 Optical Roll or touch 5.0″ x 5.0″ Scans palm prints, up to 4 flat fingerprints simultaneously or single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS). HFSecurity HF-4000 Optical Touch 0.8″ x 1.3″ HFSecurity HF-7000 Capacitive Touch 0.5″ x 0.6″ 256 x 288 Bluetooth connection. Hongda S500 Optical Touch 0.6″ x 0.8″ Hongda S680 Optical Roll or touch 1.6″ x 1.6″ Hongda S700 Optical Touch 3.2″ x 3.0 1600 x 1500 Scans 4 flat fingerprints simultaneously.
IAFIS IQS compliant id3 Certis Image Thermal Sweep 0.55″ x 0.02″ Intech SOP1 Optical Touch 1″ x 1″ 500 x 500 Integrated Biometrics Columbo Hybrid Touch 0.8″ x 1.0″ 400 x 500 PIV and Appendix F Mobile ID FAP 30 certified. Integrated Biometrics Curve Hybrid Touch 0.6″ x 0.7″ 288 x 352 Includes live finger detection Integrated Biometrics Kojak Hybrid Roll or touch 3.2″ x 3.0″ 1600 x 1500 Scans up to 4 flat fingerprints simultaneously or single rolled fingerprints; FBI IQS compliant (Appendix F of EFTS).
Integrated Biometrics LES650 Hybrid Touch 0.6″ x 0.7″ Includes live finger detection Integrated Biometrics Sherlock Hybrid Roll or touch 1.6″ x 1.5″ 800 x 750 Two finger scanner. PIV and Appendix F Mobile ID FAP 45 certified.
Integrated Biometrics Watson Hybrid Roll or touch 1.6″ x 1.5″ 800 x 750 Two finger scanner. PIV and Appendix F Mobile ID FAP 45 certified. Integrated Biometrics Watson Mini Hybrid Roll or touch 1.6″ x 1.5″ 800 x 750 Two finger scanner. PIV and Appendix F Mobile ID FAP 45 certified. These cameras are supported by MegaMatcher On Card SDK:.
Any webcam or camera that is accessible using:. DirectShowinterface for Microsoft Windows platform. GStreamerinterface for Linux platform. QuickTimeinterface for Mac platform.
Any built-in smartphone or tablet camera that is supported by Android OS. The camera should have at least 0.3 MegaPixel (640 x 480 pixels) resolution. These advanced cameras are supported:. – face & iris camera (Microsoft Windows only). / / face & iris cameras (Microsoft Windows only). These models of still cameras are supported:.
Canon EOS family still cameras (Microsoft Windows only). Nikon DSLR still cameras (Microsoft Windows only; a specific camera model should support video capture and should be listed). A video file can be also used as a data source for applications based on MegaMatcher On Card SDK. Integrators can also write plug-ins to support their cameras using the plug-in framework provided with the Device Manager from the MegaMatcher On Card SDK.
Simultaneous capture from multiple cameras is possible. High resolution cameras may be used with MegaMatcher On Card SDK, but more powerful technology like is recommended for acceptable performance.
These cameras are supported:. Any IP camera, that supports RTSP (Real Time Streaming Protocol):. Only RTP over UDP is supported. 264/MPEG-4 AVCor Motion JPEG should be used for encoding the video stream. These specific models of high-resolution are supported:.
Axis M1114 camera (Microsoft Windows and Linux). Basler BIP2-1600-25c-DN IP camera (Microsoft Windows and Linux). Cisco 4500 IP camera (Microsoft Windows only). Mobotix S14D and DualNight M12 IP cameras (Microsoft Windows and Linux).
Windows 7 Software Development Kit
PiXORD N606 camera (Microsoft Windows and Linux). Prosilica GigE Vision camera (Microsoft Windows and Linux).
Sony SNC-CS50 camera (Microsoft Windows and Linux). The table below explains which eye iris scanners are supported by Megamatcher On Card 10.0 SDK under different operating systems. Integrators or scanner manufacturers can also write plug-ins for the Device Manager from the Megamatcher On Card 10.0 SDK to support their iris cameras using the provided plug-in framework. The SDK documentation contains more information about the plug-in framework. Microsoft Windows XP / Vista / 7 / 8 Linux (32-bit only) Android 32 bit 64 bit.
CMITech BMT-20 / EMX-30 + +. Credence ID Trident + (2). Cross Match I Scan 2 + + (1). IrisGuard IG-AD100 +. Iritech IriShield USB MK 2120U / IriShield-USB BK 2121U + + + +. Iritech IriMagic1000BK +.
UBKEY Mirrorkey Mirrorkem +. VistaFA2 / VistaFA2E / VistaEY2 / VistaEY2-02 / VistaEY2R iris & face cameras + +. VistaEY2H iris camera + + Notes: (1) Can be used on 64-bit OS, but only in 32-bit applications. (2) The device has pre-installed Android OS. Technical Specifications. MegaMatcher On Card 10.0 can be configured according to different requirements and smart card constraints, at both pure Java Card level and native code. The summary of average memory requirements is available below.
The MegaMatcher On Card 10.0 template matching engines performance was tested for smart cards from several vendors; see the testing results for more information on matching speed for a particular card. Fingerprint engine specific:. 500 ppiis the recommended fingerprint image resolution. Fingerprint scanners with scan area of up to 1.55″ x 1.45″ (39 x 37 mm; FAP10, FAP20, FAP30 scanners) are recommended. Face engine specific:.
32 pixelsis the minimal distance between eyes for a face on image or video stream to perform face template extraction reliably. 64 pixels or more recommended for better template extraction results. MegaMatcher On Card face extraction engine has certain tolerance to face posture that assures face detection:. head roll (tilt) – ±15 degrees from frontal position. head pitch (nod) – ±15 degrees from frontal position. head yaw (bobble) – ±15 degrees from frontal position.
Iris engine specific:. 640 x 480 pixelsis the minimum image size for iris capture with 64 pixels minimal radius of circle containing full iris texture. ±15 degreesis the default verified iris rotation tolerance; this value can be extended on demand. Near-infraredspectral region is recommended for iris image capture. Below are provided the memory requirements for the native level integration and Java Card post-issuance libraries. Note that the Java Card post-issuance libraries utilize Java level static RAM for internal matching engine routines, whereas the native level integrations temporary utilize RAM available at the native level while the internal routines run, thus consuming no static Java level RAM.
MegaMatcher On Card 10.0 memory requirements for native level integration (maximized accuracy configuration) Code size (kilobytes) Required RAM (bytes) Template size (bytes) Fingerprint verification engine 6.1 – 11.0 960 – 2,200 (1) 660 – 2,100 (1) Face verification engine Not implemented Iris verification engine Multi-modal verification engines (1) Depends on the configurable maximal number of minutiae. An integrator should obtain a MegaMatcher On Card 10.0 SDK (EUR 439) to develop a end-user product based on MegaMatcher On Card technology. The SDK needs to be purchased just once and may be used for all projects and by all the developers within the integrator’s company. These components are included with MegaMatcher On Card 10.0 SDK:. PC-side components and licenses:. 2 single computer licenses for Fingerprint Card Extractor. 1 single computer license for Face Card Extractor.
1 single computer license for Iris Card Extractor. Smart card-side components:. 2 smart cards with MegaMatcher On Card 10.0 fingerprint matching engine. 1 smart card with MegaMatcher On Card 10.0 multi-modal fingerprint, face and iris matching engine. Integrators can obtain additional PC-side component licenses if more component licenses are required for the development process. Additional cards with installed fingerprint, iris and/or face matching component for the product development may be obtained at any time, according to stock and availability of suppliers. To deploy their developed products, an integrator need obtain the additional smart cards with fingerprint, iris and/or face matching engines and the licenses of components for every computer or device, where component will be installed together with integrator’s product.
Megamatcher Sdk
Integrators can purchase additional MegaMatcher On Card extractor component licenses if required at anytime. Additional cards with installed fingerprint, iris and/or face matching component for the product deployment can be obtained at any time, according to stock and availability of suppliers. The components are copy-protected. The following license activation options are available:. Serial numbersare used to activate licenses for particular MegaMatcher On Card components on particular computer or device.
The activation is done via the Internet or by email. After activation the network connection is not required for single computer license usage. Note: activation by serial number is not suitable for virtual environments. Internet activation.A special license file is stored on a computer or a mobile/embedded device; the license file allows to run particular MegaMatcher On Card components on that computer or device after checking the license over the Internet. Internet connection should be available periodically for a short amount of time. A single computer license can be transferred to another computer or device by moving the license file there and waiting until the previous activation expires.
Volume License Manager.Licenses may be stored in a volume license manager dongle. The license activation may be performed without connection to the Internet and is suitable for virtual environments. Volume license manager is used on site by integrators or end usersto manage licenses for MegaMatcher On Card components in the following ways:. Activating single computer licenses– An installation license for a MegaMatcher On Card component will be activated for use on a particular computer. The number of available licenses in the license manager will be decreased by the number of activated licenses.
Managing single computer licenses via a LAN or the Internet– The license manager allows the management of installation licenses for MegaMatcher On Card components across multiple computers or mobile/embedded devices in a LAN or over the Internet. The number of managed licenses is limited by the number of licenses in the license manager. No license activation is required and the license quantity is not decreased. Once issued, the license is assigned to a specific computer or device on the network.
Using license manager as a dongle– A volume license manager containing at least one license for a MegaMatcher On Card component may be used as a dongle, allowing the MegaMatcher On Card component to run on the particular computer where the dongle is attached. Additional MegaMatcher On Card component licenses for the license manager may be purchased at any time. MegaMatcher Automated Biometric Identification System (ABIS)–An integrated multi-biometric solution for national-scale identification projects. MegaMatcher SDK– Intended for development of AFIS or multi-biometric fingerprint, face, iris and palm print identification products. FingerCell SDK–For integrating fingerpint recognition into embedded platforms, like low-power, low-memory microcontrollers. VeriFinger SDK– Intended for development of PC-based or Web-based fingerprint identification systems.
Interlude - For You Free 3. Luther Vandross & Janet Jackson - The Best Things In Life Are Free 4. Interlude - Gimme My 2 Dollars 5. MC Lyte - Ice Cream Dream 6. Interlude - Amber, Let's Go 7. You been played 1993: you been played 1993: it's summertime (promo) 1995: it's summertime 1995: mind blowin' 1995. You Been Played 'You Been Played'. Smooth you been played lyrics. ..avi 6 Mio rapidshare Nipples played.rar 45 Mio rapidshare Smooth - You Been Played.rar. This Site is Inactive This site has been marked as inactive. You Been Played. You Been Played is the second album by Smooth, who had previously released her debut album under the name MC Smooth. It was released on August 24, 1993 through Jive Records and was produced.
VeriLook SDK– Intended for development of PC-based or Web-based face identification systems. VeriEye SDK– Intended for development of PC-based or Web-based iris identification systems. You may also like.