Abstract
Biometric fingerprint recognition is one of the difficult biometric pattern recognition problems. Fingerprints of human are unique and remain unchanged throughout a person’s whole life. Biometric fingerprint minutia matching is one of the most important post-processing stages of biometric fingerprint authentication system. The fingerprint minutiae points are the most important features for comparing one fingerprint image with another. Usually, a fingerprint minutia matching is implemented after different preprocessing and post-processing steps like fingerprint image enhancement, fingerprint image binarization, fingerprint image thinning and fingerprint minutia extraction. An algorithm of fingerprint minutia score matching is proposed in this paper. The research work is implemented in Dot Net platform (c# language) using custom database of 100 fingerprint images from different 25 persons. Four different fingerprint images of same finger are used for biometric fingerprint matching experiment. The enrollment of total 25 fingerprint images is carried out, and other fingerprint images of users are matched with already enrolled fingerprint images. Similarity score is calculated for original fingerprint image with enrolled fingerprint image.
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Patel, R.B., Hiran, D., Patel, J. (2021). Biometric Fingerprint Recognition Using Minutiae Score Matching. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_52
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DOI: https://doi.org/10.1007/978-981-15-4474-3_52
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