Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Segmentation of Fingerprint Images Using Linear Classifier | EURASIP Journal on Applied Signal Processing 2004 4 480-494 2004 Hindawi Publishing Corporation Segmentation of Fingerprint Images Using Linear Classifier Xinjian Chen Intelligent Bioinformatics Systems Division Institute of Automation The Chinese Academy of Sciences Beijing 100080 China Email xjchen@ Jie Tian Intelligent Bioinformatics Systems Division Institute of Automation The Chinese Academy of Sciences Beijing 100080 China Email tian@ Jiangang Cheng Intelligent Bioinformatics Systems Division Institute of Automation The Chinese Academy of Sciences Beijing 100080 China Email chengjg@ Xin Yang Intelligent Bioinformatics Systems Division Institute of Automation The Chinese Academy of Sciences Beijing 100080 China Email yx@ Received 28 October 2002 Revised 11 September 2003 An algorithm for the segmentation of fingerprints and a criterion for evaluating the block feature are presented. The segmentation uses three block features the block clusters degree the block mean information and the block variance. An optimal linear classifier has been trained for the classification per block and the criteria of minimal number of misclassified samples are used. Morphology has been applied as postprocessing to reduce the number of classification errors. The algorithm is tested on FVC2002 database only of the blocks are misclassified while the postprocessing further reduces this ratio. Experiments have shown that the proposed segmentation method performs very well in rejecting false fingerprint features from the noisy background. Keywords and phrases fingerprint image segmentation block features linear classification image processing. 1. INTRODUCTION The segmentation of fingerprint images is an important step in an automatic fingerprint recognition system. A captured fingerprint image usually consists of two components which are called the foreground and the background. The foreground is the component that .
