The Community for Technology Leaders
Frontiers of Information Technology (2011)
Islamabad, Pakistan
Dec. 19, 2011 to Dec. 21, 2011
ISBN: 978-0-7695-4625-4
pp: 85-88
ABSTRACT
Out of various biometrics being used for personal recognition, palm-print matching has gained vast acceptance due to its reliability and practicability. This paper proposes a robust palm-print recognition algorithm for human identification. The algorithm is based on Robust Oriented Hausdorff Similarity (ROHS) measure. The use of ROHS in matching is comparatively more tolerant to noise and occlusion as compared to the traditional Hausdorff distance based matching. A region of interest (128X128) is extracted from the original image and ROHS based matching is performed. The experimental results demonstrate the practicability of this algorithm.
INDEX TERMS
hausdorff distance, identification, palm-print, region of interest, similarity measure
CITATION
Imtiaz A. Taj, MianMahmood Ali, Mubeen Ghafoor, Khizar Hayat, "Palm Print Recognition Using Oriented Hausdorff Distance Transform", Frontiers of Information Technology, vol. 00, no. , pp. 85-88, 2011, doi:10.1109/FIT.2011.23
168 ms
(Ver 3.3 (11022016))