Dorsal Hand Vein Image Enhancement for Improve Recognition Rate Based on SIFT Keypoint Matching

DOI

10.2991/3ca-13.2013.44How to use a DOI?

Keywords

component; regcognition; Keypoint detection; CLAHE; SIFT; Harris detection

Abstract

The important step in hand vein matching is the quality of image that is significance for hand recognition automatic system. The input image is obvious that bring to high recognize rate important for identifying individual person. in this paper, we will enhance quality of input hand vein image by CLAHE(Contrast limit adaptive histogram equalization) that improve hand vein to clearly and reducing noise by Gaussian and wiener lowpass filter. Keypoint detection, composed by Harris-Laplace is designed to localize keypoint for each image so more discriminative information and then in matching step SIFT keypoint matching. We have investigated the performances using NCUT database. The experimental result shows that the CLAHE is improve keypoint detection, Gaussian and wiener lowpass noise reducing filter is reducing time matching for recognition matching rate base on the SIFT.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sathaporn Chanthamongkol
AU  - Boonchana Purahong
AU  - Attasit Lasakul
PY  - 2013/04
DA  - 2013/04
TI  - Dorsal Hand Vein Image Enhancement for Improve Recognition Rate Based on SIFT Keypoint Matching
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
PB  - Atlantis Press
SP  - 174
EP  - 177
SN  - 1951-6851
UR  - https://doi.org/10.2991/3ca-13.2013.44
DO  - 10.2991/3ca-13.2013.44
ID  - Chanthamongkol2013/04
ER  -