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Proceedings Paper

Hierarchical fuzzy approach for fingerprint processing
Author(s): Siavash Khorsandi; Anastasios N. Venetsanopoulos
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Paper Abstract

The approach presented in this paper is a procedure for detecting local pattern orientation of fingerprint images. Also, it is a reliable method for detecting singular points of these images. A fingerprint is a directional image consisting of many ridges in different directions and its structural information lies in the position and direction of its constituent ridges. The core part of a fingerprint processing system is detecting local ridges orientations which is done by using some directional operators. The area of support of these operators is a major concern. Using a large area, details of flow deflection are not sensed and with a small area of support, the direction is not detected correctly because of existing noise in the image. To take advantage of both small and large area sizes, we consider several area sizes in a hierarchical order. Starting with a large area size, the pattern orientation is detected at every block of the image and is used to validate and correct the direction of smaller subblocks in the next level of the hierarchy. This procedure continues until obtaining reliable pattern directions at sufficiently small blocks. We shall also address the problem of detecting singular points of fingerprints and shall show that they are detected correctly and accurately using this hierarchical approach.

Paper Details

Date Published: 21 May 1993
PDF: 11 pages
Proc. SPIE 1902, Nonlinear Image Processing IV, (21 May 1993); doi: 10.1117/12.144757
Show Author Affiliations
Siavash Khorsandi, Univ. of Toronto (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 1902:
Nonlinear Image Processing IV
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

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