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Proceedings Paper

Hand veins feature extraction using DT-CNNS
Author(s): Suleyman Malki; Lambert Spaanenburg
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Paper Abstract

As the identification process is based on the unique patterns of the users, biometrics technologies are expected to provide highly secure authentication systems. The existing systems using fingerprints or retina patterns are, however, very vulnerable. One's fingerprints are accessible as soon as the person touches a surface, while a high resolution camera easily captures the retina pattern. Thus, both patterns can easily be "stolen" and forged. Beside, technical considerations decrease the usability for these methods. Due to the direct contact with the finger, the sensor gets dirty, which decreases the authentication success ratio. Aligning the eye with a camera to capture the retina pattern gives uncomfortable feeling. On the other hand, vein patterns of either a palm of the hand or a single finger offer stable, unique and repeatable biometrics features. A fingerprint-based identification system using Cellular Neural Networks has already been proposed by Gao. His system covers all stages of a typical fingerprint verification procedure from Image Preprocessing to Feature Matching. This paper performs a critical review of the individual algorithmic steps. Notably, the operation of False Feature Elimination is applied only once instead of 3 times. Furthermore, the number of iterations is limited to 1 for all used templates. Hence, the computational need of the feedback contribution is removed. Consequently the computational effort is drastically reduced without a notable chance in quality. This allows a full integration of the detection mechanism. The system is prototyped on a Xilinx Virtex II Pro P30 FPGA.

Paper Details

Date Published: 10 May 2007
PDF: 8 pages
Proc. SPIE 6590, VLSI Circuits and Systems III, 65900N (10 May 2007); doi: 10.1117/12.722920
Show Author Affiliations
Suleyman Malki, Lund Univ. (Sweden)
Lambert Spaanenburg, Lund Univ. (Sweden)


Published in SPIE Proceedings Vol. 6590:
VLSI Circuits and Systems III
Valentín de Armas Sosa; Kamran Eshraghian; Félix B. Tobajas, Editor(s)

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