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TITLE  FingerCell 3.0 SDK Released
DATE  2016-12-02 COUNT   2791

NOTICE
 We would like to inform about the release of FingerCell 3.0 SDK for fingerprint recognition integration into embedded devices based on low-power microcontrollers.

FingerCell technology is designed for embedded biometric systems developers and features fast, compact, sensor-independent and cross-platform fingerprint recognition algorithm. The technology is designed for using in in compact devices that have limited on-board resources, such as: mobile phones, fingerprint door locks, access control panels, time and attendance systems, handheld payment and point-of-sale terminals, as well as various logon subsystems and small device components that can be integrated into cars and home electronics, among others.

FingerCell can extract a fingerprint template from an image and verify it against another template in less than 0.7 seconds on a 168 MHz ARM Cortex-M4 family processor. The algorithm is also suitable for identification (1-to-many matching) and matches about 250 fingerprints per second on the same hardware. FingerCell is fully tolerant to fingerprint translation and rotation and can recognize a fingerprint from a small portion of it.

The FingerCell technology includes a template extractor, template matcher and template stitching functionality, all optimized to run on embedded CPUs and microcontrollers. The template generator in FingerCell creates either proprietary or ANSI/ISO standard templates. The template stitching algorithm combines multiple fingerprint templates into a single template, which can significantly improve recognition accuracy, especially when small fingerprint sensors are used.

FingerCell 3.0 SDK can be provided as source code or as a static library package, which can be compiled into compact code for the required platform. The fingerprint template extraction algorithm requires only 128 kB of memory, whereas a single fingerprint template needs less than 450 bytes, depending on number of stored fingerprint features.

Sample hardware evaluation kit with the preinstalled FingerCell algorithm can be provided on request.

Download 30-day SDK trial for Microsoft Windows to evaluate FingerCell algorithm template extraction and matching capabilities.



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43  Palmprint recognition algorithm Included in MegaMatcher 2019-03-27 2552
42  Palm-print algorithm tops test at FVC-onGoing 2019-02-13 2533
41  MegaMatcher 11.0 Line 2019-01-18 2272
40  New Face Verification 11.0 SDK 2019-01-04 2542
39  New MegaMatcher 10.0 SDK 2017-07-18 2673
38  SentiVeillance Server for VMS 2017-06-20 2410
37  MegaMatcher Accelerator Extreme version 2017-06-14 2760
36  SentiVeillance 6.0 SDK Released 2017-04-21 2547
35  FingerCell 3.0 SDK Released 2016-12-02 2791
34  SentiVeillance 5.0 SDK Released 2016-08-03 2767
33  NCheck Bio Attendance 3.0 2015-12-08 2979
32  SentiVeillance 4.0 SDK Released 2015-12-04 2965
31  SentiBotics 2.0 Kit 2015-09-07 2750
30  SentiGaze SDK for real-time gaze tracking 2015-03-03 2948
29  SentiSculpt SDK for 3D object model creation 2015-02-26 2857
28  SentiBotics Mobile Robotics Development Kit 2014-09-02 2905
27  Major Updates to Entire Biometric Product Line 2014-03-24 3363
26  Sri Lanka Foreign Employment Passport AFIS System 2013-12-12 3499
25  Iris recognition algorithms at NIST IREX IV 2013-08-29 3978
24  VeriLook Surveillance 2.0 2011-12-22 6062
23  FBI certification for WSQ 3.1 2011-08-02 4773
22  Office Relocated 2011-07-19 3820
21  Upgraded SDKs Released 2011-02-16 4976
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19  MegaMatcher Accelerator 2.0 Released 2010-03-09 5677
18  RF-ID PC Logon Solution 2009-10-14 4944
17  VeriEye 2.1 Evaluation at NIST IREX 2009-10-01 4475
16  HID SmartID Readers 2009-09-28 4524
15  MegaMatcher 3.0 SDK Released 2009-04-29 6421
14  U.are.U 4500 Reader Released 2009-04-23 6063
13  Edge Solo 1.1.3 Field Upgrade 2008-05-22 76087
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10  FaceCell, embedded face recognition algorithm 2007-04-23 15347
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