Pre-processing and extraction of the ROIs steps for palmprints recognition system

The Palmprint recognition is a reliable method to identify the person. Actually, several researchers are interested in this method in the last few years thanks to its intense contributions to public security. This paper aims to present a biometric system based on a new approach that focuses on the dominant features of palmprint for recognition. It also introduces new techniques to locate the Region Of Interest (ROI) of the hand by using the Chinese Database, which is called CASIA-Palmprint. We used various methods which employ the image processing techniques including the use of the Otsu's method to binarize the original image, the boundary extraction, the smoothing determination to remove the noise and to eliminate the holes curve and the detection of the centroid to extract the key points applying the Euclidean distance. These methods are used to finally extract the ROIs from the left and right hand. We resized the ROIs to 150 × 150 and we rotated it according to the detected angle. Experimental results were obtained on the “CASIA-Palmprint” database show promising results and demonstrate the effectiveness of the proposed system. These results obtained are compared with some of the state of the arts techniques.