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

fYear

2011

fDate

19-21 Dec. 2011

Firstpage

85

Lastpage

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 (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;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers of Information Technology (FIT), 2011

Conference_Location

Islamabad

Print_ISBN

978-1-4673-0209-8

Type

conf

DOI

10.1109/FIT.2011.23

Filename

6137124