Combining Left and Right Palm Print Images for more Accurate Personal Identification

Recognition of a person by means of the biometric characteristic is very important technology as biometric identifiers can’t be shared and they intrinsically represent individual’s bodily identity. Palm print is one of the important biometric characteristics with high user acceptance and it has gained much attention because of its good performance. Biometric characteristics are used to identify a person by measuring the behavioural and physiological characteristics. In single biometric technology, there are a number of chances for fraudulent activities. Multi-biometric system provides high accuracy than any other technologies. Combining left and right palm print images to perform multi-biometrics is easy to implement and can provide better results. Here an SVM method is used as the identification time of this system is higher than others. By feature extraction, LMR PCA IDA is extracted and these features don’t depend upon iteration method and hence the computation time is reduced and SVM works on a clustering based method which reduces the computation time.