| Summary: | 碩士 === 開南大學 === 資訊學院碩士在職專班 === 106 === Biometrics and Artificial Intelligence are important infrastructures for the
development of science and technology in various countries in the future.
Fingerprint Identification is the most widely used and long-term application in
biometric technology. Fingerprint Identification Technology has been quite mature
so far, but fingerprint identification has mostly been used to explore Single
Fingerprint. Recognition, the discussion of two or more Overlapped Fingerprints is
relatively rare, but overlapping fingerprints is common in many criminal cases.
Overlapping fingerprints have the phenomenon that the fingerprint lines interfere
or cover each other. The complexity of the overlapping fingerprints is much higher
than that of a single fingerprint. The difficulty in making judgments and
understanding is also relatively high. At present, the recognition of overlapping
fingerprints must be based on well-trained training. The personnel manually
separated the fingerprint overlapping area from the non-overlapping area, which
is a problem in personnel training and processing timeliness.
Since the computer defeated the world chess king, artificial intelligence is the
most concerned computer technology topic now, and the most important
technology of artificial intelligence is Deep Learning.The main purpose of this
paper is to apply the deep learning to automatically mark the overlapped and
nonoverlapped regions of overlapped fingerprints.In this way, the overlapping
area and the nonoverlapped area can be separated.In the case of identification of
overlapping fingerprints that can be applied in criminal cases.I hope to contribute
to and help with the collection of evidence in criminal cases and the speed with
which cases can be solved.
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