Identification and analyzing Palm Print in Biometric Authentication System using Neural Network
Security plays an important key role in our day today life most of the important transactions are done through online. Initially the personal identification was done by using user identification number and password. But the hackers easily retrieve the user identification number and passwords. Sometimes the users also forgot their password. To avoid this type of problems biometric authentication method was introduced. It means check the personal identification with the help of human body parts. The important biometric identification methods are fingerprint identification; palm print identification, voice identification, iris identification etc. this biometric identification is more secure than other security mechanisms. Because each individual person have unique threshold value. The same pattern is not repeated again. This paper analyzes the palm print with the help of Artificial Neural Network concept. This concept is mainly used for classify and match the data with stored data.