Novel approach of Using Periocular and Iris Biometric Recognition in the Authentication of ITS

In a fast technology growing world with respect to the data, information security is the major criteria. To have the robust system the security is the foremost task. The personal identification system and biometrics are playing the important part in security of the system. To secure the system, the biometrics, OTP generation, irisdetection etc., are some of the securities concerned aspects are taken. Biometrics security system is one of the old security systems. During the biometric security systems, the main challenge is acquiring images with Visual Wavelength or Near-Infrared lighting in limited and unconstrained situations. This paper proposes a unique approach for personal authentication based on the merging of periocular and iris sensors. This approach may be used in the ITS (Intelligent Transport System). In the ITS, depending on the identification of the passengers, only privileged or the authorized passengers can be transported in the vehicle. The suggested system includes components for feature learning for categorization after image pre-processing. During image pre-processing, a slicedannular iris from an ocular image is turned into a remediedimage region. The local periocular region was extracted using iris localization parameters. Images suffer from varied noise abnormalities. Depending on the abnormality of the image, various data inadequacy and complicating situation arises. To deal with this problem, a novel data augmentation technique has been developed.