Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

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

Authors
Sathaporn Chanthamongkol, Boonchana Purahong, Attasit Lasakul
Corresponding Author
Sathaporn Chanthamongkol
Available Online April 2013.
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/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
10.2991/3ca-13.2013.44
ISSN
1951-6851
DOI
10.2991/3ca-13.2013.44How to use a DOI?
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/).

Cite this article

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  -