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pro vyhledávání: '"Shoba Dyre"'
Autor:
Shoba Dyre, C P Sumathi
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 7, Iss 3, Pp 1456-1462 (2017)
Fingerprint Orientation estimation is an important step in feature extraction and classification. However, a reliable extraction of fingerprint orientation data is still a challenge for poor quality images. In this paper, a gradient based estimation
Externí odkaz:
https://doaj.org/article/6fda5deb311441b7b1ac653c125d923c
Autor:
Sumathi C P, Shoba Dyre
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 7, Iss 3, Pp 1456-1462 (2017)
Fingerprint Orientation estimation is an important step in feature extraction and classification. However, a reliable extraction of fingerprint orientation data is still a challenge for poor quality images. In this paper, a gradient based estimation
Autor:
Shoba Dyre, C. P. Sumathi
Publikováno v:
International Journal of Computer Science & Engineering Survey. 7:01-17
Automatic Fingerprint authentication for personal identification and verification has received considerable attention over the past decades among various biometric techniques because of the distinctiveness and persistence properties of fingerprints.
Autor:
C. P. Sumathi, Shoba Dyre
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811048586
RTIP2R
RTIP2R
Thinning of fingerprint ridges plays a vital role in fingerprint identification systems as it simplifies the subsequent processing steps like fingerprint classification and feature extraction. In this paper, we analyze some of the parallel thinning a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24da5039997bb16ebc578ae25421e4d5
https://doi.org/10.1007/978-981-10-4859-3_39
https://doi.org/10.1007/978-981-10-4859-3_39
Autor:
C. P. Sumathi, Shoba Dyre
Publikováno v:
2014 IEEE International Conference on Computational Intelligence and Computing Research.
Automatic fingerprint recognition has received considerable attention over the past decades as fingerprint is one of the most popular and successful methods used for personal identification. In this paper, a method based on the combination of Fast Fo