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Lookup NU author(s): Mokhled Altarawneh, Dr Li Khor, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay
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Clarity of fingerprint image structure is crucial for many fingerprint applications, as well as the performance of built systems which relies on the validity and quality of captured images. Validity check will eliminate invalid images before starting the life cycle of fingerprint metadata enrolling for system processing cycle; therefore the overall benchmarking system accuracy will not be affected by rejecting an invalid image before getting in the system cycle. In this paper we propose a validity check algorithm (VCA). The VCA is applied to the base image eiement statistical weight calculation because the image element (pixel) describes an image object with the contrast, brightness, clarity and noising attributes. Our algorithm depends on fingerprint object segmentation, background subtraction, total image thresholding and pixel weight calculation. A VTC200ODB1_B, TIMA databases was used to evaluate the VCA and it has been compared with NIST fingerprint image quality results. Correlation results indicate that the proposed algorithm is feasible in detecting low quality as well as non-fingerprint images.
Author(s): Altarawneh MS, Khor LC, Woo WL, Dlay SS
Publication type: Article
Publication status: Published
Journal: Journal of Digital Information Management
Year: 2007
Volume: 5
Issue: 4
Pages: 220-224
Print publication date: 01/08/2007
ISSN (print): 0972-7272
ISSN (electronic):
Publisher: Digital Information Research Foundation
