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Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (12): 976-988    DOI: 10.1631/jzus.C0910749
    
A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction
Ashkan Tashk, Mohammad Sadegh Helfroush, Mohammad Javad Dehghani
Faculty of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran
A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction
Ashkan Tashk, Mohammad Sadegh Helfroush, Mohammad Javad Dehghani
Faculty of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran
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摘要： We introduce a novel coarse ridge orientation smoothing algorithm based on orthogonal polynomials, which can be used to estimate the orientation field (OF) for fingerprint areas of no ridge information. This method does not need any base information of singular points (SPs). The algorithm uses a consecutive application of filtering- and model-based orientation smoothing methods. A Gaussian filter has been employed for the former. The latter conditionally employs one of the orthogonal polynomials such as Legendre and Chebyshev type I or II, based on the results obtained at the filtering-based stage. To evaluate our proposed method, a variety of exclusive fingerprint classification and minutiae-based matching experiments have been conducted on the fingerprint images of FVC2000 DB2, FVC2004 DB3 and DB4 databases. Results showed that our proposed method has achieved higher SP detection, classification, and verification performance as compared to competing methods.
关键词： Coherence;  Consistency;  Fingerprint orientation;  Legendre/Chebyshev orthogonal polynomials    
Abstract: We introduce a novel coarse ridge orientation smoothing algorithm based on orthogonal polynomials, which can be used to estimate the orientation field (OF) for fingerprint areas of no ridge information. This method does not need any base information of singular points (SPs). The algorithm uses a consecutive application of filtering- and model-based orientation smoothing methods. A Gaussian filter has been employed for the former. The latter conditionally employs one of the orthogonal polynomials such as Legendre and Chebyshev type I or II, based on the results obtained at the filtering-based stage. To evaluate our proposed method, a variety of exclusive fingerprint classification and minutiae-based matching experiments have been conducted on the fingerprint images of FVC2000 DB2, FVC2004 DB3 and DB4 databases. Results showed that our proposed method has achieved higher SP detection, classification, and verification performance as compared to competing methods.
Key words: Coherence    Consistency    Fingerprint orientation    Legendre/Chebyshev orthogonal polynomials
收稿日期: 2009-12-08 出版日期: 2010-12-09
CLC:  TP391.4  
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Ashkan Tashk
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引用本文:

Ashkan Tashk, Mohammad Sadegh Helfroush, Mohammad Javad Dehghani. A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction. Front. Inform. Technol. Electron. Eng., 2010, 11(12): 976-988.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C0910749    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2010/V11/I12/976

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