Security Scheme by Using Steganography in Multi-ModelBiometric System

Abstract

The process of automatically identifying a person based on their physiological and behavioural traits is known as biometric recognition. A unimodal or multimodal biometric system might be based on physiological or behavioural traits. Some shortcomings in the unimodal biometric system include spoofing, non- universality, intra-class differences, and noisy data. Using the face and palm images as templates, we are implementing a multimodal biometric system. A person's palm image can provide a wealth of detailed information about them. Palm image have three major lines, name as principle line, secondary line and wrinkles which are unique in nature. Face image have more feature than any other biometric traits. Face image is recognized easily in less time. Combining these two biometric template gives higher security. Message image kept secretly in the cover image called stego image. In this steganography technique we are using palm image as a Message and face image as a cover image. After getting stego image Identification process works. The important featureof identification process id De-Stego. This feature of identification will separate the message image (palm image) from cover image (face image). After separation of images the decision will take care, weather the image identified or notidentified.