Fingerprint Based Gender Classification using ANN
Sudharshan Duth P1, Megha P Mirashi2
1Sudharshan Duth P, Department of Computer Science, Amrita Vishwa Vidyapeetham (Tamil Nadu), India.
2Megha P. Mirashi, Department of Computer Science, Amrita Vishwa Vidyapeetham (Tamil Nadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1779-1782 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7600068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Fingerprint contains ridge and valley which together form distinctive patterns. A fingerprint Biometric trait is one of the important trait working with good results in the gender classification. The plan agreements with the problem of gender classification using fingerprint images. The project proposed a technique for classifying the gender based on feature extraction. The related feature to be removed and differentiate the gender is Gabor filters and Minutiae extraction and ROI. The extracted feature is used to train artificial neural network based on the extracted data.
Keywords: Fingerprint, Gabor filters, ROI, ANN, Gender Classification.
Scope of the Article: Classification