Fingerprint Enabled Voting System Using ANN Classifier
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Abstract
In our proposed work we have introduced some new concepts and that is implementing by Biometric Identifier. Secured voting. It reduces man power efficiently. Throughout the project, we have been able to develop a Electronic Voting Software which manages and maintains the voter’s information and biometric data of the voters. The wiener filter is used for pre-processing the input image. The Discrete Cosine transforms and Discrete Orthogonal Stock well transform is used for image segmentation. The Grey Level Co-Occurrence Matrix is used for feature extraction and finally Artificial Neural Network is used for validating the finger print based Voters. This project is implemented using python.
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