Comparative Analysis of Fingerprint Orientation Field Algorithms
Fingerprint images are textural images consisting of ridges and valleys. The orientation of textures can be determined by orientation field computation. Fingerprint orientation field is the critical basis for fingerprint image segmentation, filtering enhancement and matching processes, and the fingerprint orientation field algorithm plays a very important role in the applied Automated Fingerprint Identification Systems (AFIS). The available fingerprint orientation field algorithms include mainly the mask algorithm and the gradient algorithm. They are used in spatial and frequency domains, respectively, and both can offer satisfactory fingerprint orientation matrixes. Based on an experimental comparison of their effectiveness in fingerprint preprocessing, this paper analyzes in detail the performance of these two algorithms.
Dahai Chen Xiang Ji Feng Fan Jun Zhang Lei Guo Weihua Meng
CAMA (Luoyang) Electronics Co. Ltd, Luoyang, 471000, China School of utomation, Northwestern Polytechnic University, Xian 710072,China School of Automation, Northwestern Polytechnic University, Xian 710072,China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
796-801
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）