Survey on Finger Vein Biometric Authentication System

In today’s society with the rapid growth in the field of electronic information technology and its simultaneous deployment in every field, the personal or identity verification is a critical key problem. Due to this fact, the biometric authentication has gaining popularity as it provides a high security and reliable approach for personal authentication. Vein biometrics is one of the emerging technique over other types of biometric systems due to its strengths of low forgery risk, aliveness detection as well as stable over long period of time. A survey on different techniques used for different processes for authentication is described in this paper. Finger vein has an outstanding promise in variety of applications. The performance parameter for vein is Equal Error Rate (EER) which is calculated using different algorithms.

[1]  Hyokyung Bahn,et al.  Secure user identification for consumer electronics devices , 2008, IEEE Transactions on Consumer Electronics.

[2]  Shangling Song,et al.  An embedded real-time finger-vein recognition system for mobile devices , 2012, IEEE Transactions on Consumer Electronics.

[3]  D. Mulyono,et al.  A study of finger vein biometric for personal identification , 2008, 2008 International Symposium on Biometrics and Security Technologies.

[4]  Bakhtiar Affendi Rosdi,et al.  Finger Vein Recognition Algorithm Using Phase Only Correlation , 2010, 2010 International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics.

[6]  Sharath Pankanti,et al.  Biometrics: a grand challenge , 2004, ICPR 2004.

[7]  Jianping Li,et al.  User identification based on finger-vein patterns for consumer electronics devices , 2010, IEEE Transactions on Consumer Electronics.

[8]  J. Hashimoto,et al.  Finger Vein Authentication Technology and Its Future , 2006, 2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers..

[9]  M. Khalil-Hani,et al.  FPGA-based embedded system implementation of finger vein biometrics , 2010, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA).

[10]  K..  An Embedded Real-Time Finger-Vein Recognition System for Security Levels , 2013 .

[11]  Naoto Miura,et al.  Feature Extraction of Finger-vein Patterns Based on Repeated Line Tracking and Its Application to Personal Identification , 2022 .

[12]  M. Subramani,et al.  Highly Secure and Reliable User Identification Based on Finger Vein Patterns , 2011 .

[13]  Dr.Ms.A.Ushapriya Mr.M.SUBRAMANI.  HIGHLY SECURE AND RELIABLE USER IDENTIFICATION BASED ON FINGER VEIN PATTERNS , 2011 .