 | FingerCell Standard EDK (Linux Demo) v1.2A kit for embedded/PC biometrical system development with third-party hardwareFingerCell Standard EDK is intended for developers, who are going to develop embedded or embedded/PC biometrical systems with third party or custom hardware. Includes 2 copy-protected licenses for FingerCell library (one for embedded device and one for PC), drivers for image input from fingerprint sensors, sample applications (with source code) and software documentation. |
| FingerCell Standard EDK (Windows Demo) v1.2A kit for embedded/PC biometrical system development with third-party hardwareFingerCell Standard EDK is intended for developers, who are going to develop embedded or embedded/PC biometrical systems with third party or custom hardware. Includes 2 copy-protected licenses for FingerCell library (one for embedded device and one for PC), drivers for image input from fingerprint sensors, sample applications (with source code) and software documentation. |
 | VeriFinger Standard SDK (Linux Demo) v4.2Fingerprint identification SDK (supports C, Visual Basic)VeriFinger Standard SDK is intended for most biometric system developers. This SDK contains interfaces for some of the major fingerprint scanners, which allow the developer to obtain data from the scanners without any additional software. Supports BiometriKa FX 2000 scanner, AuthenTec AES4000 EntrePad and AF-S2 FingerLoc sensors. |
| VeriFinger Standard SDK (Windows Demo) v4.2Fingerprint identification SDK (supports C, Visual Basic)VeriFinger Standard SDK is intended for most biometric system developers. This SDK contains interfaces for some of the major fingerprint scanners, which allow the developer to obtain data from the scanners without any additional software. Supports DigitalPersona U.are.U, Identix DFR2090, Cross Match Verifier 300, BiometriKa FX 2000 and TouchChip TCRU1C scanners, AuthenTec AES4000 EntrePad and AF-S2 FingerLoc sensors. |
| FingerCell Library EDK (Demo for WinCE) v1.2A kit for big biometric system projects using hardware, based on ARM processors.FingerCell 1.2 Library EDK is intended for large biometric system projects using hardware, based on ARM processors. The EDK includes unprotected licenses for FingerCell 1.2 library installation. The system could run on ARM-based platform under Windows CE or Linux, and on x86 platform under Windows or Linux. |
| VeriFinger Extended SDK v4.2Fingerprint identification SDK (supports C, Visual Basic)VeriFinger Extended SDK contains interfaces for some of the major fingerprint scanners and a set of COM/ActiveX components, created especially for rapid development of client/server application using VeriFinger fingerprint identification technology. Supports DigitalPersona U.are.U, Identix DFR2090, Cross Match Verifier 300, BiometriKa FX 2000 and TouchChip TCRU1C scanners, AuthenTec AES4000 EntrePad and AF-S2 FingerLoc sensors. |
| VeriFinger Standard SDK v4.2Fingerprint identification SDK (supports C, Visual Basic)VeriFinger Standard SDK is intended for most biometric system developers. This SDK contains interfaces for some of the major fingerprint scanners, which allow the developer to obtain data from the scanners without any additional software. Supports DigitalPersona U.are.U, Identix DFR2090, Cross Match Verifier 300, BiometriKa FX 2000 and TouchChip TCRU1C scanners, AuthenTec AES4000 EntrePad and AF-S2 FingerLoc sensors. |
 | FingerPoint v1.4Person identification system using fingerprintsFingerPoint is an end user software package for person identification using his/her fingerprints as a unique ID. The system has integrated support for DigitalPersona U.are.U fingerprint scanners, and is intended for application in enterprises where frequent and reliable check-ups of personal identity are needed. It allows to avoid using of paper documents or magnetic cards, which can be lost, stolen, forgotten, etc. |
 | NN50.DLL v5.0NN50.DLL Neural Network - True A.I. software that actually thinks!Artificial Neural Networks are computational paradigms which implement simplified models of their biological counterparts, biological neural networks. Biological Neural Networks are the local assemblages of neurons and their dendrite connections that form the brain. The implementation of Neural Networks for brain-like computations like patterns recognition, decisions making, motory control and many others is made possible by the advent... |
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