Integrated Finger Print Recognition Using Image Morphology and Neural Network

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Provided by: Creative Commons
Topic: Security
Format: PDF
Finger print recognition is one among the biometric measures which is commonly used. In this paper, an integrated finger print recognition is proposed using image morphology and neural networks. In the first stage, acquisition of the finger print image is done using finger print reader and then pre-processing is done using 2D median and weiner filter, then in the second stage, image binarization, image normalization, image thinning, and minutiae extraction are done in order to extract the minutiae features. Further these minutiae points are reshaped into 60 feature vectors as post - processing.
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