International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 105 | Views: 258

Research Paper | Computer Science & Engineering | China | Volume 5 Issue 5, May 2016 | Popularity: 6.3 / 10


     

Beam Search Algorithm for Fingerprint Reference Point Determination Based on Joint Orientation Features

Shan Juan Xie, Yanshuang Zhang


Abstract: In this paper, we propose an efficient beam search algorithm for fingerprint reference point determination with its joint orientation features, which operates in two-step as well as two-path. For the two-path operation, it uses different orientation features at different scales block-based orientation certainty and pixel-based orientation map. While some fault symptoms are roughly pruned by a block-based orientation feature which is used to ignore some local maxima and select some candidate regions for a reference point region and an accurate path to a reference point is guided by a pixel-based orientation map, their information also is fused for making up one anothers weakness. For the two-step operation, in the first step, several candidates of a reference point are determined through beam search algorithm and, in the second step, an accurate reference point is located through the specic concept models. The proposed system has pixel-based precision in determining the position of reference point without complex enhancement, which has been successfully tested through the database FVC2004.


Keywords: fingerprint, reference point determination, beam search


Edition: Volume 5 Issue 5, May 2016


Pages: 2493 - 2500



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Shan Juan Xie, Yanshuang Zhang, "Beam Search Algorithm for Fingerprint Reference Point Determination Based on Joint Orientation Features", International Journal of Science and Research (IJSR), Volume 5 Issue 5, May 2016, pp. 2493-2500, URL: https://www.ijsr.net/getabstract.php?paperid=NOV163123, DOI: https://www.doi.org/10.21275/NOV163123



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