|
|
Target Recognition Based on Fuzzy Automata |
WU QingE , WANG Tuo, LIU WeiLiang, HUANG YongXuan, LI JiSheng, SHU Lan |
School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049 |
|
|
Abstract A target recognition system based on fuzzy automata is presented. The system first performs image processing, then accomplishes the target recognition. The system consists of four parts: image preprocessing, feature extraction, target matching and experiment. Compared with the existing approaches, both global and local features of target image are utilized in this system, and fuzzy automata is used for target recognition. Simulation results show that the result of the target recognition based on fuzzy automata is better than that of other approaches. The recognition rate, as high as 94.59%, is achieved.
|
Received: 25 December 2006
|
|
|
|
|
[1] Boles W, Boashah B. A Human Identification Technique Using Images of the Iris and Wavelet Transform. IEEE Trans on Signal Processing, 1998, 46(4): 11851188 [2] Smith S M. Brady J M. SUSAN-A New Approach to Low Level Image Processing. International Journal of Computer Vision, 1997, 23(1): 4578 [3] Zheng Nanning. Computer Vision and Pattern Recognition. Beijing, China: National Defense Industry Press, 1998 (in Chinese) (郑南宁.计算机视觉与模式识别.北京:国防工业出版社, 1998) [4] Qin Qianqing, Yang Zongkai. Practical Wavelet Analysis. Xi'an, China: Xidian University Press, 1994 (in Chinese) (秦前清,杨宗凯.实用小波分析.西安:西安电子科技大学出版社, 1994) [5] Nobuhara H, Bede B, Hirota K. On Various Eigen Fuzzy Sets and Their Application to Image Reconstruction. Information Sciences, 2006, 176(20): 29883010 [6] Oh S K, Pedrycz W, Roh S B. Genetically Optimized Fuzzy Polynomial Neural Networks with Fuzzy SetBased Polynomial Neurons. Information Sciences, 2006, 176(23): 34903519 [7] Daugman J G. High Confidence Visual Recognition of Persons by a Test of Statistical Independence. IEEE Trans on Pattern Analysis and Machine Intelligence, 1993, 15(11): 11481161 [8] Li X R, Jilkov V P. A Survey of Maneuvering Target Tracking-Part V: MultipleModel Methods. IEEE Trans on Aerospace and Electronic Systems, 2005, 41(4): 12551321 [9] Ekel P Y, Neto F H S. Algorithms of Discrete Optimization and Their Application to Problems with Fuzzy Coefficients. Information Sciences, 2006, 176(19): 28462868 [10]Reed T R, de Buf J M H. A Review of Recent Texture Segmentation and Feature Extraction Techniques. Computer Vision, Graphics, and Image Processing: Image Understanding, 1993, 57(3): 359372 [11]Pal S K, Mitra S. Noisy Fingerprint Classification Using Multilayer Perceptron with Fuzzy Geometrical and Textural Features. Fuzzy Sets and Systems, 1996, 80(2): 121132 [12]Tan T N. Texture Edge Detection by Modeling Visual Cortical Channels. Pattern Recognition, 1995, 28(9): 12831298 |
|
|
|