An Efficient Pre-processing Techniques on Log Server

A biometric system for identifying fingers based on their unique veins under the skin is called finger vein recognition method (FVRM). Authentication is performed by scanning the finger with a special camera, and the information is checked on a registered visual collection. A total of two seconds is required to complete the process. A vein pattern is said to be more accurate than a fingerprint since it is based on veins under the surface of the skin. Fingerprint biometrics is a secure form of authentication, but it can be difficult to use in certain industries due to smudged fingerprints or cuts. FVRM method involves pre-processing techniques to enhance the standard of the veins snaps, as well as feature extraction steps to predict the contours of the finger veins Identification Details (ID)for authentication process. A Recurrent Neural Network is used for user authentication, and the Canberra distance classifier is used to measure the numerical distance between pairs of points. The proposed model will improve the accuracy for the authentication process, and the outputs are analysed using the confusion matrix.