FINGERPRINT CLASSIFICATION BASED ON SPECTRAL FEATURES

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POUR GHASEM H.; GHASEMIAN H.

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Journal: THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING Year:2005 | Volume:3 | Issue:2-4 (B) Page(s): 19-26

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Information Journal Paper

Title

FINGERPRINT CLASSIFICATION BASED ON SPECTRAL FEATURES

Author(s)

POUR GHASEM H. | GHASEMIAN H. | Issue Writer Certificate

Keywords

FMGERPRINTQ3

CLASSIFICATIONQ2

PROBABILISTIC NEURAL NETWORKQ3

FEATURE EXTRACTIONQ2

SPECTRAL FEATURESQ4

Abstract

Fingerprint is one of the most imp0l1ant indexes that can be applied to human verification and identification. In the recent decade, with the population explosion and tremendous increase in fingerprint databases, automation of identification has been unavoidable. Fingerprint CLASSIFICATION decreases the time of search for an unknown image in large databases. In this research, translation and rotation invariant features are extracted from spectrum of the fingerprint image, and a new tessellation on the frequency spectrum based on an appropriate definition of frequency concept in the fingerprint application, has been designed. The extracted features obtain not only information from frequency of ridges but also valuable information from direction of ridges in the fingerprint images. Features are classified with PROBABILISTIC NEURAL NETWORK. FVC2000 and FVC2002 databases are used to assess the proposed algorithm. The proposed algorithm provides an accuracy and speed of CLASSIFICATION more than previously reported in the literature. We have obtained an accuracy of 93.4 percent with a rejection ratio 2.8 percent for the seven-class task and for the six-class CLASSIFICATION task an accuracy of 95.1 percent with a rejection ratio 2.4 percent is achieved.

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APA: Copy

POUR GHASEM, H., & GHASEMIAN, H.. (2005). FINGERPRINT CLASSIFICATION BASED ON SPECTRAL FEATURES. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, 3(2-4 (B)), 19-26. SID. https://sid.ir/paper/70689/en

Vancouver: Copy

POUR GHASEM H., GHASEMIAN H.. FINGERPRINT CLASSIFICATION BASED ON SPECTRAL FEATURES. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING[Internet]. 2005;3(2-4 (B)):19-26. Available from: https://sid.ir/paper/70689/en

IEEE: Copy

H. POUR GHASEM, and H. GHASEMIAN, “FINGERPRINT CLASSIFICATION BASED ON SPECTRAL FEATURES,” THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, vol. 3, no. 2-4 (B), pp. 19–26, 2005, [Online]. Available: https://sid.ir/paper/70689/en

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