Palm Print Recognition Using Hough Transforms

Now a days the palm print is one of the physiological characteristics which is believed that it is unique to individuals. Palm print is the great deal of different texture, which is consists of principal lines, regions, datum points, geometry, wrinkles, ridges, delta points and also minutiae features. So many methods of palm images have been applied by several researchers. Different types of image preprocessing techniques are used for human verification using palm print biometrics. Hough Transform (HT) is one of the most powerful tools for finding graphical elements in an image. This paper presents the HT method to represent a palm by the Hough peak features, which denotes the points where many edges are crossing in the palm print images. We explore the effect of that peak points and show the proposed methods achieve good accuracy for particular real datasets and reduce false detections as well.