Low Cost Hand Vein Authentication System on Embedded Linux Platform
Gayathri S1, K Gerard Joe Nigel2, S Prabakar3
1Gayathri S, M.Tech, Department of Embedded System, Karunya University, Coimbatore (Tamil Nadu), India.
2K.Gerard Joe Nigel, Assistant Profesor, Department of EIE, Karunya University, Coimbatore (Tamil Nadu), India.
3S.Prabakar, Assistant Profesor, Department of EIE, Karunya University, Coimbatore (Tamil Nadu), India.
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 138-141 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0555032413/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Biometrics is one of the highly accurate technologies in the field of user identification. This paper presents a low costcontactless biometric identification system on Embedded Linux platform which is used to authenticate a person using the vein pattern in hand. As the system uses the vein pattern which is unique to each individual and is contained within human body, it is highly secure and accurate. Moreover, its contact less feature gives it a hygienic advantage over other personal authentication technologies. The system works by capturing a person’s vein pattern image by radiating it with near -infrared rays. The deoxygenated blood in the vein absorbs the near infrared radiation and thus the vein pattern appearsas black areas in the image. This captured pattern is stored as a template for the user verification. The experimental results of the proposed system shows that the dorsal hand vein pattern is highly unique and is a better alternative for other personal authentication systems. Also, the use of low cost ccd camera and open source Embedded Linux made the system cheaper than the conventional systems without risking accuracy.
Keywords: Embedded Linux, Hand Vein Authentication, Pattern Extraction, Pattern Matching, Verification.
Scope of the Article: Authentication, Authorization, Accounting