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Fingerprint identification

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Automatic Fingerprint Identification

In this project, I will analyze the topology of different types of fingerprints in order to find a new tool to assist in computer identification. The project will focus on the homology groups of the main types of fingerprints – loops, whorls, and arches – and their variations. The dimensions of the homology groups of fingerprints will represent the number of ridges and the number of valleys. It is expected that there are fundamental differences between these types. I will explore how the number and types of minutiae points affect the homology groups of fingerprints. Alternatively, homology will be used to find and identify minutiae. This will create a “map” of the print. Another direction is extracting the main features of the print for the purpose of the first run, coarse, search, classification and new ways of compact storage of prints.