P. Jayapriya*, K. Umamaheswari
Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1293-1308, 2022, DOI:10.32604/iasc.2022.022583
Abstract Automated biometric authentication attracts the attention of researchers to work on hand-based images to develop applications in forensics science. Finger Knuckle Print (FKP) is one of the hand-based biometrics used in the recognition of an individual. FKP is rich in texture, less in contact and known for its unique features. The dimensionality of the features, extracted from the image, is one of the main problems in pattern recognition. Since selecting the relevant features is an important but challenging task, the feature subset selection is an optimization problem. A reduced number of features results in enhanced classification accuracy. The proposed FKP… More >
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