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General Information
    • ISSN: 1793-8201 (Print)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta
    • Executive Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • E-mail: ijcte@iacsitp.com
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2011 Vol.3(3): 418-421 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.341

Minutiae Extraction Based on Propriety of Curvature

Abbad Khalid, Tairi Hamid, and Aarab Abdellah

Abstract—Fingerprint verification algorithms need two majors steps; enhancement of image and minutiae extraction. Our approach uses Short Time Fourier Transform (STFT) Analysis to enhance fingerprint. The foreground region mask, local ridge orientation and local frequency are all estimated by STFT algorithm. The novel approach of minutiae extraction is based on the extraction of the map contour of fingerprint and then finding minutiae using the global and local proprieties of contour. We compare our proposed approach with the alternative approach of minutiae extraction and the results show the performance of our technique.

Index Terms—Contour, corner, curvature, MINDTCT,minutiae extraction, NIST, STFT enhancement.

The authors are with faculty of sciences Dhar- El mahraz (FSDM) Fes MORROCO (email: abbadkhalid@gmail.com).


Cite: Abbad Khalid, Tairi Hamid, and Aarab Abdellah, "Minutiae Extraction Based on Propriety of Curvature," International Journal of Computer Theory and Engineering vol. 3, no. 3, pp. 418-421, 2011.

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