COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 6 pps

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... step. 1 2 3 4 5 6 7 S1 S2 S3 S4 S5 S6 S7 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 125 123 113 127 112 125 135 175 179 128 127 127 121 132 185 179 1 76 122 117 111 114 174 159 182 171 152 122 113 183 178 185 1 76 173 139 123 170 192 1 86 181 177 169 119 187 1 86 180 181 1 86 175 183 Figure 15. 16 3D projection of...

Ngày tải lên: 14/08/2014, 06:22

... horizontal and vertical projections of the test document image. COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS Edited by Muhammad Sarfraz King Fahd University of Petroleum and Minerals, ... Structures 261 4. Coronary Vessel Cognitive Analysis 263 5. Understanding of Lesions in the Urinary Tract 265 6. Syntactic Methods Supporting Diagnosis of Pancreatiti...

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... Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley & Sons, Ltd 358 Fast Object Recognition Using DP 39 41 70 69 79 39 41 70 69 39 86 41 70 69 56 38 80 41 1 16 56 38 80 1 16 41 38 80 41 118 56 86 80 (c) (d) Figure ... pp. 65 6 66 7, 1994. [30] Chen, K. Z., Zhang, X. W., Ou, Z. Y. and Feng, X. A. “Holo-extraction of info...

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... geometric algebra multidimensional neural networks andthat some of them can also be generated Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley ... 359– 366 , 1989. [10] Rumelhart, D.E. and McClelland, J.L. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, 2 Vols, MIT Press, Cambridge, 19 86....

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... 4 16 Fusion 131, 133 Fuzzy ARTMAP, we group 67 Fuzzy logic 65 , 285, 289, 368 G Gain 150, 457 Galois 4 56, 457, 466 Galois connection 4 56, 457, 466 Galois Lattice 4 56, 466 Gauss function 108 Gaussian 14, ... 367 , 371 Singularities 417 Sizes 15, 34, 69 , 1 26, 152, 2 26 Skeleton dilation (branch labeling) 407 Skeleton model 395 Skeleton(s) 56, 120, 261 , 365 , 387–93 Slope(s) 23,...

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... Y. and Shridhar, M. “Character segmentation in handwritten words – an overview,” Pattern Recognition, 29(1), pp. 77– 96, 19 96. [12] Shridhar, M. and Badreldin, A. Recognition of Isolated and ... Suters, M. and Yan, H. “Separation of Single and Double Touching Handwritten Numeral Strings,” Optical Engineering, 34, pp. 159– 165 , 1995. [ 16] Shi, Z. and Govindaraju, V. “Segment...

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... maximum independent Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley & Sons, Ltd 122 Fingerprint Recognition using Minutiae and Shape Figure ... system 93.84 87.81 86. 76 95.04 89 .68 88.28 System 1 proposed in [15] 85.39 66 .67 59.57 — — — System 2 proposed in [15] 82.52 76. 39 58.92 — — — Fuzzy-ARTMAP based syste...

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... fingerprint recognition, face recognition, iris recognition, retina recognition, hand geometry, voice recognition and signature recognition, among others. Face recognition, in particular, has ... carried out in this field and many techniques have been proposed and implemented. The task of applying face recognition in real life is becoming a reality! 166 Iris Recognition U...

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... Lee, S. B. and Tsutsui, S. Intelligent Biometric Techniques in Fingerprint and Face Recognition. CRC Press, 1990. [3] Moghaddam, B. and Pentland, A. “Face recognition using view-based and modular ... connections between the first and Facial Image Recognition 235 • Why does a face recognition system not use a single technique? Can the detection and recognition techniq...

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