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Advances in Fingerprint Technology.pdf

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Bank of Gabor Filters<br />

Ridge Extraction<br />

Vot<strong>in</strong>g Algorithm<br />

Estimate Local Orientation<br />

Coarse-level<br />

Ridge Map<br />

Composition<br />

Input Image<br />

Ridge Maps<br />

Unrecoverable<br />

Region Mask<br />

Orientation Field<br />

Enhanced Image<br />

Filtered Images<br />

Figure 8.18 F<strong>in</strong>gerpr<strong>in</strong>t enhancement algorithm. (From Hong, L., Automatic<br />

Personal Identification Us<strong>in</strong>g F<strong>in</strong>gerpr<strong>in</strong>ts, Ph.D. thesis, 1998. With permission.<br />

Ja<strong>in</strong>, A.K. and Pankanti, S., Handbook for Image and Video Process<strong>in</strong>g, Bovik,<br />

A., Ed., ©Academic Press, April 2000.)<br />

A novel approach to f<strong>in</strong>gerpr<strong>in</strong>t enhancement proposed by Hong et al. 10<br />

(see Figure 8.18) is summarized here. It decomposes the given f<strong>in</strong>gerpr<strong>in</strong>t<br />

image <strong>in</strong>to several component images us<strong>in</strong>g a bank of directional Gabor

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