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A novel palmprint segmentation technique

Rotinwa-Akinbile, M. O. and Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka (2011) A novel palmprint segmentation technique. In: 1st International Conference on Informatics and Computational Intelligence (ICI 2011), 12-14 December 2011, Parahyangan Catholic University, Bandung, Indonesia.

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Abstract

Recent paradigm shift from the conventional contact based palmprint recognition to contactless based systems (CBS) has necessitated the development of a variety of these systems. A major challenge of these systems is it robustness to illumination variation in unconstrained environment, thus making segmentation difficult. In this paper, the acquired image undergoes color space conversion and the output is filtered using coefficients obtained from the training of an artificial neural network (ANN) based model coefficient determination technique. Performance analysis of the proposed technique shows better performance in term of mean square error, true positive rate and accuracy when compared with two other techniques. Furthermore, it has also been observed that the proposed method is illumination invariant hence its suitability for deployment in contactless palmprint recognition systems.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6472/7227
Uncontrolled Keywords: Biometrics, Hand, Illumination, Segmentation.
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Abiodun Musa Aibinu
Date Deposited: 04 Dec 2011 17:46
Last Modified: 20 Apr 2012 15:44
URI: http://irep.iium.edu.my/id/eprint/7227

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