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- W3132825228 abstract "In this modern world of technology, gender classification have immense value. Gender detection from the fingerprint helps to catalogue the data and to analyze it easily. Now a days gender detection based on fingerprint can be seen in industrial, commercial and unique id of nation as AADHAR card. Today, world’s judicial system accepted Fingerprint based recognition of an individual and it is the most adopted technique. So in this work we tried to implement a system to detect the gender of the particular fingerprint. In this proposed system, time domain approach is used to find out the gender of a particular fingerprint obtained using systematic pixel counting. The results showed that the gender identification using systematic pixel counting have 90.2% classification accuracy for females and 96.4% for males. The algorithm can be developed using Python framework 3.6." @default.
- W3132825228 created "2021-03-01" @default.
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- W3132825228 date "2019-01-01" @default.
- W3132825228 modified "2023-09-24" @default.
- W3132825228 title "Gender Detection and Classification from Fingerprints Using Pixel Count" @default.
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- W3132825228 doi "https://doi.org/10.2139/ssrn.3444032" @default.
- W3132825228 hasPublicationYear "2019" @default.
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