AUTHORS: Dimitar Georgiev, Tasho Tashev, Ivo Draganov

Download as PDF

ABSTRACT: In this paper is presented an extensive overview of the biometrics that are commonly used in the electronic identity documents or are considered perspective for future use for digital personal identification at large scale. All the presented features are compared based on their advantages and disadvantages concerning the practicality of feature extraction, identification accuracy, accessibility, needed effort and cost. They include face, finger print, iris, finger vein, voice, and lips. The level of trust, long term stability and template size are the other qualities taken into consideration during this study. The mutual influence of the application factors in relation to each characteristic type during exploitation is evaluated by analysis of the False Acceptance Rate and False Rejection Rate parameters of already developed systems. Advantageous suggestions are made for the future use of biometrics within the existing frameworks for personal identification.

KEYWORDS: Biometrics, Identity Document, Face, Fingerprint, Iris, Finger Vein

REFERENCES:

[1] Jain, Anil K, Ross, Arun; Prabhakar, Salil, An introduction to biometric recognition. IEEE Transactions on circuits and systems for video technology, Vol. 14, No. 1, 2004, pp. 4-20.

[2] Unar, J. A, Seng, Woo Chaw, Abbasi, Almas, A review of biometric technology along with trends and prospects, Pattern recognition, Vol. 47, No. 8, 2014, pp. 2673-2688.

[3] Zhao, Wenyi, et al., Face recognition: A literature survey, ACM computing surveys (CSUR), Vol. 35, No. 4, 2003, pp. 399-458.

[4] Gao, Wen, et al., The CAS-PEAL large-scale Chinese face database and baseline evaluations, IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol. 38, No. 1, 2008, pp. 149-161.

[5] Maltoni, Davide, et al., Handbook of fingerprint recognition. Springer Science & Business Media, 2009.

[6] CASIA-FingerprintV5, http://biometrics.idealtest.org/ , visited on October 3rd, 2017.

[7] Sheela, S. V., Vijaya, P. A., Iris recognition methods-survey, International Journal of Computer Applications, Vol. 3, No. 5, 2010, pp. 19-25.

[8] Proença, Hugo, Alexandre, Luís A., UBIRIS: A noisy iris image database, In Proc.: International Conference on Image Analysis and Processing. Springer, Berlin, Heidelberg, 2005, pp. 970-977.

[9] Mulyono, David, Jinn, Horng Shi, A study of finger vein biometric for personal identification. In Proc.: IEEE International Symposium on Biometrics and Security Technologies (ISBAST 2008), 2008, pp. 1-8.

[10] Miura, Naoto, Nagasaka, Akio, Miyatake, Takafumi, Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification, Machine Vision and Applications, Vol. 15, No. 4, 2004, pp. 194-203.

[11] Miura, Naoto, Nagasaka, Akio, Miyatake, Takafumi, Extraction of finger-vein patterns using maximum curvature points in image profiles. IEICE TRANSACTIONS on Information and Systems, Vol. 90, No. 8, 2007, pp. 1185-1194.

[12] Kumar, Ajay, Zhou, Yingbo, Human identification using finger images. IEEE Transactions on image processing, Vol. 21, No. 4, 2012, pp. 2228-2244.

[13] Delac, Kresimir, Grgic, Mislav, A survey of biometric recognition methods. In: Proceedings of the 46th International Symposium IEEE Elmar Electronics in Marine, 2004, pp. 184- 193.

[14] Moshe, Yair, Peleg, Nimrod, Cohen, Nadav, SPDEMO - a novel software tool for teaching multimedia signal processing. In: 2nd International IEEE Conference on Information Technology: Research and Education ITRE 2004, 2004, pp. 116-120.

[15] Dineshshankar, Janardhanam, et al., Lip prints: Role in forensic odontology. Journal of pharmacy & bioallied sciences, Vol. 5, Suppl. 1, 2013, pp. 95-97.

[16] Liu, Simon, Silverman, Mark, A practical guide to biometric security technology. IT Professional, Vol. 3, No. 1, 2001, pp. 27-32.

[17] Malik, Jyoti, et al., Reference threshold calculation for biometric authentication, International Journal of Image, Graphics and Signal Processing, Vol. 6, No. 2, 2014, pp. 46.

[18] Porwik, Piotr, The Biometric Passport: The Technical Requirements and Possibilities of Using. In: IEEE International Conference on Biometrics and Kansei Engineering ICBAKE2009, 2009, pp. 65-69.

[19] Hoepman, Jaap-Henk, et al., Crossing borders: Security and privacy issues of the european epassport. Advances in information and computer security, 2006, pp. 152-167.

[20] Schimke, Sascha, et al., Security analysis for biometric data in ID documents, Security, Steganography, and Watermarking of Multimedia Contents, 2005, pp. 7.

[21] Juels, Ari, Molnar, David, Wagner, David, Security and Privacy Issues in E-passports, In: First IEEE International Conference on Security and Privacy for Emerging Areas in Communications Networks SecureComm 2005, 2005, pp. 74-88.

[22] Watson, Craig I., et al., Fingerprint vendor technology evaluation. NIST Interagency/Internal Report (NISTIR)-8034, 2015.

[23] Cappelli, Raffaele, et al., Fingerprint verification competition 2006. Biometric Technology Today, Vol. 15, No. 7, 2007, pp. 7- 9.

[24] Grother, Patrick, Ngan, Mei, Face Recognition Vendor Test (FRVT). Performance of Face Identification Algorithms, NIST Interagency Report, Vol. 8009, 2014, pp. 84.

[25] FRONTEX, Operational and Technical security of Electronic Passports, Warsaw, Poland, July 2011, http://frontex.europa.eu/assets/Publications/Res earch/Operational_and_Technical_Security_of _Electronic_Pasports.pdf , visited on October 3rd, 2017.