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8 October 2018 Feasibility analysis of unique ID (UID) generation for personal authentication of valuable documents using dorsal hand vein pattern
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Reliable personal authentication is a critical and vital obligation to the security in all the real-world applications. Nevertheless, biometric features are effectively used for the personal authentication, in some cases the criminal impersonation is an easy task. The reproducible attack in fingerprint system and cost prohibitive nature of iris and facial based system limit the vast implementation of the same for personal authentication. Hence, considering the cases of increasing identity theft, there is more reason than ever to ensure the reliable and cost-effective personal authentication. The vein biometric identification system has been gaining increased attention in recent years. Anatomically, the shape of the vein pattern at the dorsal hand is unique for each even for identical twins and remains stable for a period. The objective of this work is to conduct a feasibility analysis of unique ID generation using dorsal hand vein pattern as the biometric authentication system for preventing identity theft of the valuable documents. Images of the vein pattern from the dorsal side of the hand are tried to capture using a regular type Smartphone camera. Vein pattern thus captured is used to extract the unique features. Numerical values generated from such unique feature are encrypted and used to create a unique ID. This paper discusses about the method for the dorsal hand vein pattern capturing, its feature extraction, conversion to the unique ID and its feasibility to integrate to the valuable documents.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sajan Ambadiyil, Reema Jayarajan, V. P. Mahadevan Pillai, and Radhakrishna Prabhu "Feasibility analysis of unique ID (UID) generation for personal authentication of valuable documents using dorsal hand vein pattern", Proc. SPIE 10802, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II, 108020H (8 October 2018);

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