Recognizing Gender with Fingerprints
نویسندگان
چکیده
Gender recognition is very important step in forensic investigations to identify a criminal and minimize the list of suspects. Being proved as the most effective identification tool and because of a large database, fingerprints can be very useful in determining the gender of a person. This paper presents an efficient and simple method of recognizing gender with fingerprints using principal component analysis. The paper evaluates Eigen matrix from the test fingerprints which are then used to identify the gender. It was observed that with an increase in the number of fingerprints, gender recognition becomes better.
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