Neurotechnology Customers

Content of this page

• Case studies
• Solution Partners products
• Neurotechnology biometrical technology in scientific papers

Currently more than 1,800 security system integrators in more than 60 countries use our products, including a number of basic computer hardware and fingerprint sensor providers. Below are presented case studies that show how our biometrical technology was integrated into customers' products, Solution Partners products based on our biometrical technology and a list of scientific papers that present researches and experiments, performed using our technology:

Case studies

The case studies are prepared using the information from our customers about their software based on our biometrical technology:

• Lenovo computer access system is based on VeriLook facial recognition software.
  Lenovo selected VeriLook 3.0 to be the facial recognition engine for PC user authentication and file encryption in their webcam-enabled notebook computers. The company was looking for reliable facial recognition technology for their notebook computers at a price point that enabled them to keep their prices competitive. After considering many face recognition engines, Lenovo found that VeriLook best meets their requirements.
  Read the case study (PDF).
• El Salvador's National Passport System is based on MegaMatcher multi-biometric technology.
  General Security El Salvador selected MegaMatcher to provide the core multi-biometric functionality for the Republic of El Salvador's first nationwide multi-biometric passport and immigration system. National-level AFIS and multi-biometric identification systems help governments provide a higher level of security for their citizens, visitors and trade partners in the global economy. A strategic approach to implementation is enabling El Salvador to develop a robust national database with immediate applications for immigration and criminal justice.
  Read the case study (PDF).
• Large-scale identification system for police and immigration control uses MegaMatcher technology as the multi-biometric face-fingerprint identification engine.
  FC LSBS from Biometrics FC Ltd. is a large scale identification system based on Neurotechnology's MegaMatcher multi-biometric fingerprint and facial recognition technology. The nationwide system was implemented to help immigration and police officials identify and capture people entering a country illegally. They also wanted a system that could be applied to other forms of criminal investigation, including identification of latent fingerprints from crime scenes. The system is now installed in more than 20 frontier localities across the country (with more to come) and the remote stations are joined by a global LAN.
  Read the case study (PDF).
• Childcare management system based on fingerprint identification was developed using VeriFinger SDK.
  The CONFIDENT Childcare Management System from Lifewares is used in daycare centers, churches and schools to control the dropping off and picking up of children by parents or guardians. Most childcare facilities manage the identity of children and their proper guardians using solutions like clipboards and papers, wrist bands, ID cards or claimchecks, but all of them are slow and unreliable. With the fingerprint recognition capabilities in CONFIDENT, every parent or guardian checking a child in or out of a facility accesses their account using their fingerprint.
  Read the case study (PDF).
• BiRD Touchless Fingerprint Sensor uses VeriFinger algorithm for fingerprint enrollment, verification and identification.
  TST Biometrics chose Neurotechnology's VeriFinger 4.2 algorithm for fingerprint enrollment, verification and identification in their flagship product, the BiRD Touchless Fingerprint Sensor with Live Finger Detection. A fast and highly accurate fingerprint identification algorithm was required, because the sensor is used for time/attendance and access control for mission-critical applications such as national border controls and high security areas like nuclear power plants.
  Read the case study (PDF).
• Family of access and attendance control solutions: TouchAccess, TouchID and RobotID were developed by ComputerID using VeriFinger SDK.
  TouchAccess is a complete access control solution that offers convenience, security and cost-effectiveness of fingerprint identification in a solution that can be customized to integrate with existing access control systems.
  TouchID is Computer ID's time clock control system, which registers the user's presence withsimple touch-in fingerprint scanner.
  RobotID is a basic identification system that captures a fingerprint, performs identification using a specified database and shows the identified person's name or other data on the screen.
  Read the case study (PDF).
• Océ has chosen VeriFinger for their Océ TouchTo Print functionality. This functionality allows people to print their jobs with only one touch to an integrated fingerprint sensor.
• In 2004 M2SYS has been licensed to use the VeriFinger 4.2 software version for their applications.

Solution Partners products

Below are references to Solution Partners products based on our biometrical technology. More information about obtaining the "Solution Partner" status is available here.

Click on the product name to view product details.

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Our biometrical technology in scientific papers

In addition to commercial software development, our fingerprint and face identification technologies are being used in a number of scientific studies and experiments in the biometrics field. Below are a selection of research papers that present interesting ideas and methods for improving current biometrical technologies. The links point to the documents in the PDF format, thus you will need Adobe Reader software to open them.

• S. Modi, S. Elliott, H. Kim. Performance Analysis for Multi Sensor Fingerprint Recognition System. http://www.biotown.purdue.edu/publications/proceedings/ICISS_2007_Modi_Elliott_Kim.pdf, 2007.
  This research analyzes effects of interoperability on error rates for fingerprint datasets captured from two optical sensors and a capacitive sensor. A practical approach for improving performance of interoperable fingerprint datasets is presented. Several issues which need to be investigated to reduce the effects of interoperability on performance are revealed. VeriFinger fingerprint matching algorithm was used together with all three fingerprint scanners in the experiments.
• Y. Chen, A. K. Jain. Dots And Incipients: Extended Features for Partial Fingerprint Matching. http://biometrics.cse.msu.edu/Publications/Fingerprint/ChenJainExtendedDots_BC2007.pdf, 2007.
  The paper proposes an algorithm to extract two major Level 3 feature types, dots and incipients, based on local phase symmetry and demonstrates their effectiveness in partial print matching. Since dots and incipients can be easily encoded by forensic examiners, the results of this research will probably have benefits to Next Generation Identification (NGI) systems. The VeriFinger matching algorithm was used in the experiments described in the paper.
• A. Ross, R. Nadgir. A Calibration Model For Fingerprint Sensor Interoperability. In Proc. of SPIE Conference on Biometric Technology for Human Identification III, (Orlando, USA), pp.62020B-1 – 62020B-12, April 2006. http://www.csee.wvu.edu/~ross/pubs/RossNadgirCalibrationModel_SPIE2006.pdf.
  The paper proposes a simple non-linear calibration scheme, based on Thin Plate Splines (TPS), as sufficient to facilitate sensor interoperability in the context of fingerprints. The VeriFinger algorithm and NIST BOZORTH3 algorithm were used in the fingerprint matching experiments on improving identification results with images from two different fingerprint sensors.
• T. Uz, G. Bebis, et.al. Minutiae-Based Template Synthesis and Matching Using Hierarchical Delaunay Triangulations. http://www.cse.unr.edu/~bebis/BTAS07.pdf, 2007.
  A new minutiae template-merging method is presented in the paper. The method is based on hierarchical Delaunay triangulations for synthesizing a super-template from multiple enrollment templates to increase coverage area, restore missing features, and alleviate spurious minutiae. The VeriFinger algorithm was used in the experiments for extracting the minutiae from fingerprints.
• M. Arnold, C. Busch, H. Ihmor. Investigating Performance and Impacts on Fingerprint Recognition Systems. In Sixth Annual IEEE Systems, Man and Cybernetics (SMC) Information Assurance Workshop 2005. Proceedings: June 15 - 17, 2005, West Point, New York. Workshop papers. Piscataway, NJ: IEEE, 2005, pp. 1-7. http://cc1.sctc.mnscu.edu/infosec/WestPointWorkshop2005/cdrom/PDFs/Papers/S01P01.pdf.
  The paper presents a comparative study of fingerprint recognition systems with special emphasis on investigating the performance with regard to different combinations of fingerprint sensors and algorithms and the impact of ageing. The goal of this study was to investigate the capability characteristics of biometric systems regarding integration of biometric features in personnel documents such as IDcards and Visa application documents. Neurotechnology's fingerprint identification algorithm was used for testing among 6 other algorithms in conjunction with 11 different fingerprint scanners.
• R. K. Rowe, K. A. Nixon, S. P. Corcoran. Multispectral Fingerprint Biometrics. In Sixth Annual IEEE Systems, Man and Cybernetics (SMC) Information Assurance Workshop, 2005. Proceedings: June 15 - 17, 2005, West Point, New York. Workshop papers. Piscataway, NJ: IEEE, 2005, pp. 14-20 http://cc1.sctc.mnscu.edu/infosec/WestPointWorkshop2005/cdrom/PDFs/Papers/S01P03.pdf.
  A novel fingerprint sensor is described in the paper. The sensor combines a multispectral imager (MSI) with a conventional optical fingerprint sensor for improving usability and security relative to standard technology. VeriFinger algorithm was used in the experiments for fingerprint minutiae detection, extraction and matching.
• T. C. Clancy, N. Kiyavash, D. J. Lin. Secure Smartcardbased Fingerprint Authentication. In Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications, November 08, 2003, Berkley, California. http://www.ifp.uiuc.edu/~kiyavash/papers/bio-wbma2003.pdf.
  A cryptosystem capable of using fingerprint data as the key is presented in the paper. The fundamental insecurities hampering a scalable, wide-spread deployment of biometric authentication are also examined with a focus on situations where a private key is stored on a smartcard that is used for authentication in a networked environment. The VeriFinger algorithm was used to extract fingerprint features for the tests performed in this paper.
• S. K. Modi, S. J. Elliott. Impact of Image Quality on Performance: Comparison of Young and Elderly Fingerprints. In Proceedings of the 6th International Conference on Recent Advances in Soft Computing (RASC 2006), K. Sirlantzis (Ed.), pp. 449-454, 2006. http://www.biotown.purdue.edu/publications/proceedings/ModiRASC2006.pdf.
  This research examines the impact of fingerprint image quality of two different age groups: 18-25, and 62+ on overall performance using two different fingerprint matchers. The difference in image quality between the two age groups and the impact of image quality on performance of fingerprint matchers between the two groups were analyzed. Neurotechnology's VeriFinger and NIST bozorth3 matchers were used to assess overall performance.
• R. F. Stewart, R. Youmaran, A. Adler. Fingerprint Verification For Control Of Electronic Blast Initiation. In Conf. of the Int. Society of Explosives Engineers., Nashville, TN, USA, January 2007. http://www.sce.carleton.ca/faculty/adler/publications/2007/stewart-youmaran-adler-isee07-fingerprint.pdf.
  The paper shows the advantages of employing fingerprint biometric technology to ensure that only authorized personnel can initiate a blast involving electronic detonators. MegaMatcher-based software and a fingerprint sensor were used in the application of electronic blast initiation control.
• A. Mascher-Kampfer, H. Stögner, A. Uhl. Comparison Of Compression Algorithms' Impact On Fingerprint And Face Recognition Accuracy. In Visual Communications and Image Processing 2007 (VCIP'07), Proceedings of SPIE 6508, p. 650810-1 - 65080N-10. http://www.cosy.sbg.ac.at/~uhl/vcip06.pdf.
  The impact of using different lossy compression algorithms on the matching accuracy of fingerprint and face recognition systems is investigated in the paper. VeriFinger and VeriLook algorithms were used in the experiments for fingerprint and face recognition respectively.