DocumentCode
2169229
Title
Analysis of Thumbprint Recognition in Different Bit Levels
Author
Ramlan, M.R. ; Bong, D.B.L. ; Lee, T.Z.
fYear
2012
fDate
26-28 Nov. 2012
Firstpage
192
Lastpage
196
Abstract
In this paper, a preliminary analysis of thumbprint recognition in different bit levels is presented. A digital image consists of m x n pixels and each pixel is represented by gray level value. In an 8-bits gray level image, the gray level value range from 0 to 255 for each pixel. Each bit-plane will then be extracted as the input into the neural network to test its performance and accuracy. The performance is then evaluated based on the recognition rate of each bit plane.
Keywords
biometrics (access control); neural nets; object recognition; bit levels; digital image; gray level image; gray level value; neural network; preliminary analysis; thumbprint recognition analysis; Thumbprint recognition; bit level extraction; image processing; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-5832-3
Type
conf
DOI
10.1109/ACSAT.2012.53
Filename
6516350
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