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System of invariant features for fingerprint recognition

R.V. Skidanov1,2, S.N. Khonina1,2, V.V. Kotlyar1,2
1Image Processing Systems Institute of RAS
2Samara State Aerospace University

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Pages: 165-167.

Abstract:
Personal identification using fingerprint recognition generates sustainable interest and is important for security purposes. Currently, most fingerprint recognition systems include computer-intensive operations. The works [3, 4] investigate the method of fingerprint recognition based on the directional field. However, this method is only suitable for small databases (no exceeding 104 elements). The main problem preventing the use of this method with larger databases is the dependence of the directional field on the fingerprint orientation. In order to use the directional field method for recognizing fingerprints in larger databases (up to 106 elements), it is necessary to use the features that are invariant to the fingerprint orientation. This work proposes to use Zernike expansion coefficients of Fourier spectrum of a complex directional field for this purpose.

Keywords:
fingerprint, security, database, Zernike expansion coefficient, Fourier spectrum, invariant feature.

Citation:
Skidanov RV, Khonina SN, Kotlyar VV. System of invariant features for fingerprint recognition. Computer Optics 2003; 25: 165-167.

References:
  1. Seth M, Datta AK. Optical implementation of a connectionist model of Hough transform. Opt Eng 1996; 35(6): 1779-1794.
  2. Huh H, Pan JK. Optical digital invariant recognition of two dimensional patterns with straight links. Opt Eng 1996; 35(4): 997-1002.
  3. Soifer VA, Kotlyar VV, Khonina SN. Optical method for constructing a field of directions. Avtometriya 1996; 1: 31-36.
  4. Soifer VA, Kotlyar VV, Khonina SN, Skidanov RV. Optical-digital methods of fingerprint identification. Computer Optics 1996; 16: 78-89.
  5. Skidanov RV. Shift stability of fingerprint identification method using a directional field technique. Computer Optics 1997; 17: 130-134.
  6. Ilyasova NY, Ustinov AV, Khramov AG. Numerical methods and algorithms of building of directional fields in quasiperiodic structures. Computer Optics 1998; 18: 150-165.

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