Dorsal Hand Vein Image Enhancement for Improve Recognition Rate Based on SIFT Keypoint Matching
- 10.2991/3ca-13.2013.44How to use a DOI?
- component; regcognition; Keypoint detection; CLAHE; SIFT; Harris detection
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.
- © 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 -