A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction

Ashkan TASHK; Sadegh HELFROUSH; Javad DEHGHANI

doi:10.1631/jzus.C0910749

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A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction

计算机与自动化 | Updated：2022-08-31

- A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction
- A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction
- 信息与电子工程前沿（英文） 2010年11卷第12期页码：976-988
- Affiliations：
  
  Faculty of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran
- Author bio：
  
  E-mail:a.tashk@sutech.ac.ir
  ms_helfroush@sutech.ac.ir
  dehghani@sutech.ac.ir
- Funds：
- DOI：10.1631/jzus.C0910749
  中图分类号：
- 收稿：2009-12-08，
  
  修回：2010-10-27，
  
  录用：2010-01-29，
  
  纸质出版：2010-12
- Accepted：
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A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction[J]. 信息与电子工程前沿（英文）, 2010,11(12):976-988.

Ashkan TASHK, Sadegh HELFROUSH, Javad DEHGHANI. A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction[J]. Frontiers of Information Technology & Electronic Engineering, 2010, 11(12): 976-988.
A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction[J]. 信息与电子工程前沿（英文）, 2010,11(12):976-988. DOI： 10.1631/jzus.C0910749.

Ashkan TASHK, Sadegh HELFROUSH, Javad DEHGHANI. A Chebyshev/Legendre polynomial interpolation approach for fingerprint orientation estimation smoothing and prediction[J]. Frontiers of Information Technology & Electronic Engineering, 2010, 11(12): 976-988. DOI： 10.1631/jzus.C0910749.

摘要

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.

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