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A method of detecting singular points of fingerprint images using a directional field

R.V. Skidanov1,2, A.G. Nalimov1,2

IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS,
443001, Samara, Russia, Molodogvardeyskaya 151,
Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34

 PDF, 1294 kB

Pages: 69-74.

Full text of article: Russian language.

Abstract:
Personal identification by 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 (not 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 define fingerprint global singular points to expand the feature set. It is necessary to find the position of the singular points on the filtered directional field and determine their type. This paper proposes an original method of automatic search for special points in images.

Keywords:
detecting singular point, fingerprint image, directional field, personal identification, security purpose, fingerprint recognition system, database.

Citation:
Skidanov RV, Nalimov AG. A method of detecting singular points of fingerprint images using a directional field. Computer Optics 2002; 23: 69-74.

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 [In Russian]. Avtometriya 1996; 1: 31-36.
  4. Soifer VA, Kotlyar VV, Khonina SN, Skidanov RV. Optical-digital methods of fingerprint identification [In Russian]. Computer Optics 1996; 16: 78-89.
  5. Skidanov RV. Shift stability of fingerprint identification method using a directional field technique [In Russian]. Computer Optics 1997; 17: 130-134.

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