Definition
One of the most popular forms of biometrics used for personal identification is fingerprints. The extraction of multi-features illustrates the diversity of data represented from fingerprint samples, allowing mitigation of the intrapersonal variable. This study uses multiple feature extraction based on statistical tests of co-occurrence matrices to overcome the drawbacks of previous methods and minutiae extraction to achieve high accuracy toward an efficient fingerprint verification system.
Introduction
The most important type of human biometrics is fingerprints. Fingerprints have been used for personal recognition in forensic applications, such as criminal investigation tools, national identity card validation, and authentication processors. The uniqueness and immutability of fingerprint patterns as well as the low cost of associated...
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Ebrahim, A.Y., Kolivand, H. (2019). Fingerprint Verification Based on Combining Minutiae Extraction and Statistical Features. In: Lee, N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_362-1
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DOI: https://doi.org/10.1007/978-3-319-08234-9_362-1
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