Biometric Privacy through Hand Geometry- A Survey

Reliable authentication is a key factor in ensuring data security. Information systems requiring a high level of data security do not use passwords that are considered to be too insecure to verify the identity of the subject but instead often use different biometrics. Examples include user verification through fingerprints, keyboard dynamics, or hand-shaped biometrics. There are many approaches to hand authentication, each of which has strengths and weaknesses. There is currently no comparison of these approaches based on both quantitative and qualitative criteria in current scientific publications. The aim of this paper is therefore to compare the different methods of biometric authentication by hand geometry to identify current trends in this area and the need for future research.

[1]  Matteo Golfarelli,et al.  On the Error-Reject Trade-Off in Biometric Verification Systems , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Antonio Iula,et al.  An Improved Ultrasound System for Biometric Recognition Based on Hand Geometry and Palmprint , 2014 .

[3]  Mita Nasipuri,et al.  Finger contour profile based hand biometric recognition , 2016, Multimedia Tools and Applications.

[4]  Antonio Adán,et al.  Biometric verification/identification based on hands natural layout , 2008, Image Vis. Comput..

[5]  Jugurta R. Montalvão Filho,et al.  Robust hand image processing for biometric application , 2010, Pattern Analysis and Applications.

[6]  Arun Ross,et al.  Information fusion in biometrics , 2003, Pattern Recognit. Lett..

[7]  B. Miller,et al.  Vital signs of identity [biometrics] , 1994, IEEE Spectrum.

[8]  Chih-Hsien Hsia,et al.  Contact-free hand geometry-based identification system , 2012, Expert Syst. Appl..

[9]  David Zhang,et al.  Hand-Geometry Recognition Using Entropy-Based Discretization , 2007, IEEE Transactions on Information Forensics and Security.

[10]  Miguel Angel Ferrer-Ballester,et al.  Authentication of Individuals using Hand Geometry Biometrics: A Neural Network Approach , 2007, Neural Processing Letters.

[11]  Ana González-Marcos,et al.  Biometric Identification through Hand Geometry Measurements , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Rasha M. Al Eidan.  Hand biometrics: Overview and user perception survey , 2013, 2013 Second International Conference on Informatics & Applications (ICIA).

[13]  Bülent Sankur,et al.  Shape-based hand recognition , 2006, IEEE Transactions on Image Processing.

[14]  Soo-Won Kim,et al.  Hand Biometric Recognition Based on Fused Hand Geometry and Vascular Patterns , 2013, Sensors.

[15]  Helen C. Shen,et al.  Personal authentication using hand images , 2006, Pattern Recognit. Lett..

[16]  Vivek Kanhangad,et al.  Segmentation of hand from cluttered backgrounds for hand geometry biometrics , 2017, 2017 IEEE Region 10 Symposium (TENSYMP).

[17]  Tülay Yildirim,et al.  Hand geometry identification without feature extraction by general regression neural network , 2008, Expert Syst. Appl..

[18]  Aytül Erçil,et al.  Combining implicit polynomials and geometric features for hand recognition , 2003, Pattern Recognit. Lett..

[19]  Bülent Sankur,et al.  Comparative analysis of global hand appearance-based person recognition , 2008, J. Electronic Imaging.

[20]  Helen C. Shen,et al.  Personal Verification Using Palmprint and Hand Geometry Biometric , 2003, AVBPA.

[21]  Raul Sanchez-Reillo,et al.  Access control system with hand geometry verification and smart cards , 2000 .

[22]  Sachin Jambawalikar,et al.  Hand Recognition Using Geometric Classifiers , 2004, ICBA.

[23]  Arun Ross,et al.  Handbook of Biometrics , 2007 .

[24]  Puneet Gupta,et al.  An accurate infrared hand geometry and vein pattern based authentication system , 2016, Knowl. Based Syst..

[25]  Eui Chul Lee,et al.  New Finger Biometric Method Using Near Infrared Imaging , 2011, Sensors.

[26]  Shiv Ram Dubey,et al.  Identity verification using shape and geometry of human hands , 2015, Expert Syst. Appl..

[27]  Damon L. Woodard,et al.  Finger surface as a biometric identifier , 2005, Comput. Vis. Image Underst..