Paper Title :Fingerprint based Gender Identification & Detection of Drug Usage using ANN
Author :Merlin Milkiyas, K Vinutha Anand
Article Citation :Merlin Milkiyas ,K Vinutha Anand ,
(2019 ) " Fingerprint based Gender Identification & Detection of Drug Usage using ANN " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 6-8,
Volume-7, Issue-3
Abstract : Fingerprint is an impression left by human finger. Due to the secretion of sweat, the fingerprints are easily
imprinted on to the surface of the objects. Example: Glass or metal. A very few researchers have worked on gender
identification using fingerprint and have gained competitive results. This paper aims at the implementation of gender
identification based on fingerprint which fuses with the detection of drug usage in the person and the drug consumed by
person. This paper will help to design and develop an efficient algorithm for the fingerprint-based gender identification
system and drug usage, after testing the samples for gender identification, the performance efficiency is found to be 88% for
female and 78 % for male and for consumption and detection of drugs, it is found to be 98% accurate.
Keywords - Fingerprint, Ridge, Gender Identification, Consumption and Detection of Drugs, Artificial Neural Network
(ANN), Sweat.
Type : Research paper
Published : Volume-7, Issue-3
Copyright: © Institute of Research and Journals
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Published on 2019-06-06 |
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