COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 5 potx

... 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 ... for image recognition (e.g. handwriting recognition [ 45] , optical character and text recognition [46], face recognition [47–49], shape classification [50 ], etc.) Altho...

Ngày tải lên: 14/08/2014, 11:21

... 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 ... R. and Poggio, T. “Face Recognition: Features versus Templates,” IEEE Transactions on PAMI, 15( 10), pp. 1042–1 052 , 1993. [ 15] Wiskott, N. K. L., Fellous, J. M. and von de...

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... restricted areas and resources. The Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 20 05 John Wiley & Sons, Ltd 182 Pose-invariant Face Recognition 3.3.1 ... [2]. 164 Iris Recognition Using Neural Networks Table 10.3 Percentage recognition for RBFNN with 10 dB SNR. C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C1 95 50 000 0 000 0 4 5...

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... 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, ... Extraction 453 Ahmed Hasnah, Ali Jaoua and Jihad Jaam (Qatar) 1. Introduction 453 2. Mathematical Foundations 454 2.1 Definition of a Binary Context 454 2.2 Defini...

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... (samples) 150 100 50 0 50 –100 – 150 Angle (degree) ANGLE 2 1 3 5 4 (a) (b) 150 100 50 0 50 Angular velocity (degrees/sampling period) 3300 3 350 3400 3 450 350 0 355 0 3600 3 650 3700 3 750 CHARACTER ... (f) 40 35 30 25 20 15 10 5 0 Linear velocity (pixels/sampling period) 3300 3 350 3400 3 450 350 0 355 0 3600 3 650 3700 3 750 CHARACTER ‘a’ 7300 7 250 7200 7 150 7...

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... 83 .53 No Propinit 75. 85 70. 65 67.30 83.97 75. 78 75. 50 No Eveninit 75. 74 58 .04 65. 25 79 .51 70.86 70.63 No k-means 90.40 85. 90 84 .51 93.22 87 .58 87 .54 No Hierarchical 90.87 88.00 79. 45 89.74 82 .51 ... 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 system 93. 75 89.76 8...

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... only on passwords or secret codes Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 20 05 John Wiley & Sons, Ltd 150 Iris Recognition Using Neural Networks of ... Wilson, C. L. and Sirohey, S. “Human and machine recognition of faces: A survey,” Proceedings of the IEEE, 83, pp. 7 05 740, 19 95. [4] Samal, A. and Lyengar, P. A...

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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 1 05 110 1 15 120 1 25 130 1 35 140 1 45 150 155 160 1 65 170 1 75 180 1 85 190 1 25 123 113 127 112 1 25 1 35 1 75 179 128 127 127 121 132 1 85 179 176 122 117 111 114 174 159 182 171 152 122 113 183 178 1 85 176 173 139 123 170 192 186 181 177 169 119 187 186 180 181 186 1 75 183 Fi...

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... information Classification Experiments 3 15 Recognition rate (%) 25 30 35 40 45 50 55 60 2 4 6 8 10 12 14 16 18 20 22 (a) Dimension Recognition rate (%) 50 40 45 25 30 35 2 4 6 8 10 12 14 16 18 20 22 (b) PCA MCE ... problem and can be solved by the interior point 316 Feature Extraction and Compression with Classifiers Recognition rate (%) 40 45 50 55 60 65 2 4...

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... Recognition Techniques and Applications Edited by M. Sarfraz © 20 05 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 41 116 56 38 80 116 41 38 80 41 118 56 86 80 (c) (d) Figure ... and scale changes,” Pattern Recognition, 25, pp. 58 3 59 4, 1992. [6] Lowe, D. G. “Three-Dimensional Object Recognition fr...

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