首页|Artificial Neural Network Based Biometric Palm Print Recognition System for Security Analysis
Artificial Neural Network Based Biometric Palm Print Recognition System for Security Analysis
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NETL
The detection of human features can be achieved using various techniques。 There are many demerits in the detection and in the process of maintaining the forensic tasks。 So the authentication process is developed to the level of palm-print recognition。 The palm print recognition of the people can be done through the left or right that can execute the same as the stamp of the finger。 The size of the palm is bigger when it is compared to the fingers print。 It is the very easier step to obtain the data and the processing speed is also very high。 The palm print authentication is used for the good authentication process。 It is very new when it is compared to the fingers print and their organization of face the palm print has many merits when it is compared to other methods and it is also very reliable。 In this research work， palmprint is detected with the help of an ANN classifier。 It shows a better result than the conventional model。 This proposed model is implemented using the MATLAB tool and the performance is assessed based on the accuracy rate。
NETL
