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Analysis of fingerprint performance among left-handed and right-handed people

Mahmood, Nasrul Humaimi and Gasmelseed, A. (2011) Analysis of fingerprint performance among left-handed and right-handed people. In: Analysis of Fingerprint Performance among Left-Handed and Right-Handed People: Selected Papers from the 2011 International Conference on Electric and Electronics (EEIC 2011) in Nanchang, China on June 20–22, 2011, Volume 1. Lecture Notes in Electrical Engineering . Springer Berlin Heidelberg, pp. 109-116. ISBN 978-364221696-1

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Official URL: http://dx.doi.org/10.1007/978-3-642-21697-8_15


Fingerprint is one of the main features in identifying a person and the recognition of fingerprint is much easier to compute and analyze compared to another recognition such as iris recognition and voice recognition. This paper investigates the fingerprint performance between the left-handed and right-handed people by determining which one of these two groups has the easier computation using MATLAB. The minutiae matching are used to determine the feature of fingerprint image. Minutiae are the main feature of fingerprint identification. By using MATLAB as a tool for calculating the minutiae compared to the manual calculation, the error is reduced. As a result, it can be concluded that the minutiae matching is the best way in identify and analyze the fingerprint performance and pre-processing image is needed to produce clear images as well as the ridges and furrow could be differentiated easily.

Item Type:Book Section
Uncontrolled Keywords:fingerprint, left-handed people, minutiae, right-handed people
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:28779
Deposited By: Liza Porijo
Deposited On:20 Nov 2012 07:41
Last Modified:04 Feb 2017 07:50

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