A New Gradual Segmentation Algorithm of Fingerprint Image

Feng Wang; Hong Bing Cao

doi:10.4028/www.scientific.net/AMR.712-715.2407

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715A New Gradual Segmentation Algorithm of...

A New Gradual Segmentation Algorithm of Fingerprint Image

Abstract:

Segmentation is an important part of fingerprint image preprocessing. Effective segmentation not only reduces the time of subsequent processing but also improves the reliability of feature extraction considerably. After introducing segmentation, we suggest improved mean and variance-orientation coherence gradual segmentation algorithm of fingerprint image. Morphology has been applied as preprocessing to reduce the number of classification errors. The algorithm is tested on FVC2002 database, only 0.79% of the blocks are misclassified, while the preprocessing further reduces this ratio. Experimental results verify the feasibility of this algorithm.

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Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

2407-2411

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.2407

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Online since:

June 2013

Authors:

Feng Wang, Hong Bing Cao

Keywords:

Fingerprint, Gradual Segmentation, Morpholoy, Orientation Coherence

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References

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