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Abstract
This paper presents an automatic fingerprint classification technique similar to that reported in [2] but, an inverse filtering technique was introduced to restore the distorted parts of the images prior to the feature extraction stage. The results have shown that introducing the inverse filter stage has improved the percentage of correct classification. It reaches 97.5% compared to the 95% correct classification obtained using the previously reported technique.
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