Gender Classification from Palm Images
Sudharshan Duth1, Adwaith Kiran M S2
1Sudharshan Duth, Department of Computer Science, Amrita Vishwa Vidyapeetham (Karnataka), India.
2Adwaith Kiran M.S., Department of Computer Science, Amrita Vishwa Vidyapeetham (Karnataka), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1806-1810 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7611068519/19©BEIESP
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Abstract: In our proposed work we are predicting the gender from the palm image. Using ROI segmentation, we can extract the palm region, from the segmented palm region extract the geometrical features and calculate various parameters. from the various parameters will train the machine and classify the trained data using SVM. finally generating the confusion matrix to assess the efficiency. Here we are proposing a method which extract the feature of the segmented palm region, considering it as a square and calculate the sides and diagonal, based on that we will classify the palm based on gender
Keywords: Fingerprint Model, Biometric Systems, Fingerprint Matching, Pattern Matching, Support Vector Machine And Feature Extraction
Scope of the Article: Pattern Recognition