AUTHENTICATION THROUGH BIOMETRIC MULTIMODAL PALMPRINTS USING MATCHING SCORES AND OTP

The multimodal biometric system refers to the term which integrates multiple biometric traits of the same person like the left and right palmprint images of the user which is used in this process of the palmprint authentication system. In this paper, the left and right palmprint images are used where the right palmprint image is reversed. The matching scores are the score values which are calculated from the templates that are extracted from the query palmprint image and matched with the corresponding models in the training palmprint image in the database. Thus the matching scores are calculated from the left training and left query palmprint image, left query and right reverse training palmprint image and from the right reverse training and right query palmprint image using the Robust Line Orientation Code (RLOC) which is summed to form the combined matching score. The One Time Password (OTP) which is the randomly generated password is sent as the text message to the user's network medium by a service provider. In this paper, the combined matching score, which is calculated, helps to authenticate the user along with the OTP which is generated using the proposed method. Thus, this article aims to provide a more secure and efficient multimodal palmprint authentication system.