Title :
Palm Print Recognition Using Oriented Hausdorff Distance Transform
Author :
Ali, MianMahmood ; Ghafoor, Mubeen ; Taj, Imtiaz A. ; Hayat, Khizar
Author_Institution :
Muhammad Ali Jinnah Univ., Islamabad, Pakistan
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 (128×128) is extracted from the original image and ROHS based matching is performed. The experimental results demonstrate the practicability of this algorithm.
Keywords :
image matching; palmprint recognition; transforms; ROHS; oriented Hausdorff distance transform; palm print matching; palm print recognition; personal recognition; robust oriented Hausdorff similarity; Biometrics; Databases; Feature extraction; Image edge detection; Lighting; Robustness; Transforms; hausdorff distance; identification; palm-print; region of interest; similarity measure;
Conference_Titel :
Frontiers of Information Technology (FIT), 2011
Conference_Location :
Islamabad
Print_ISBN :
978-1-4673-0209-8
DOI :
10.1109/FIT.2011.23
