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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