Linear Binary Pattern Based Biometric Recognition Using Hand Geometry And Iris Images

Senathipathi Velmurugan, Shitharth Selvarajan · International Journal of Applied Engineering Research · 2015

Biometric recognition is an emerging technology that can be used to resolve the person identity related security issues.This work considers the problem of strengthening security level and also avoids the denial of service.The proposed system gets the input image as Hand Geometry and Iris image.Median filter is used to perform the pre processing.Discrete curvelet transform is used to perform the image enhancement.Thresholding technique is used to segregate foreground object.Then Linear Binary Pattern (LBP) is used to extract the unique feature.The extracted feature is stored to database.The real time comparison is made with feature stored database.Finally result is either accepted or rejected with quick response.The input images are collected from standard database as CASIA Iris Image Database Version 4.0, CASIA Hand geometry Image Database and comparison is made with existing system.The application areas are security and surveillance systems, gaming, human-computer interaction systems etc.

Read the paper · More papers on PaperTik