COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 7 doc

... of types of mine and of scenarios Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley & Sons, Ltd 322 Improving Mine Recognition Regarding ... +Bi a −C 2 ( 17. 14) with: A =  2D vT  2 ( 17. 15) B =  2Y vT  2 ( 17. 16) C =i o ( 17. 17) Equation ( 17. 14) is the parametric equation of a hyperbola, showing that i...

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... indeed exist in the scene. Equations ( 17. 16), ( 17. 15) and ( 17. 17) can be rewritten, respectively, as: v = 2Y T √ B ( 17. 18) D = vT √ A 2 ( 17. 19) i o = C ( 17. 20) Thus, once the typical hyperbolic ... types of mine and of scenarios Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley & Sons, Ltd 318 Feature E...

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... between the query face and prototype faces from the database and perform the recognition. Table 11.2 Comparison of different subspace techniques. PCA ICA KPCA Accuracy 77 % 77 % 87 % Computation (floating ... fingerprint recognition, face recognition, iris recognition, retina recognition, hand geometry, voice recognition and signature recognition, among others. Face recog...

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... matching,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 19 (7) , pp. 77 5 77 9, 19 97. [16] Taylor, C. J., Edwards, G. J. and Cootes, T. F. “Face recognition using active appearance models,” ... Lee, S. B. and Tsutsui, S. Intelligent Biometric Techniques in Fingerprint and Face Recognition. CRC Press, 1990. [3] Moghaddam, B. and Pentland, A. “Face recogn...

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... more than one shape Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley & Sons, Ltd 76 Prototype-based Handwriting Recognition Therefore, ... 558 278 72 3 1 577 Prototypes per label ratio 10 87 2215 27 8 27 860 7 References 65 Table 4.1 A comparative performance evaluation. Algorithm Success segmentation rate 20...

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... Muhammad. Computer-aided intelligent recognition techniques and applications / Muhammad Sarfraz. p. cm. Includes bibliographical references and Index. ISBN-13 978 -0- 470 -09414-3 (cloth) ISBN-10 0- 470 -09414-1 ... horizontal and vertical projections of the test document image. COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS Edited by Muhammad S...

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... the Figure 3.1 Test image ‘data13’. 72 Prototype-based Handwriting Recognition 3300 3350 3400 3450 3500 3550 3600 3650 370 0 375 0 CHARACTER ‘a’ 73 00 72 50 72 00 71 50 71 00 70 50 70 00 Pad Y axis (pixels) 2 4 1 5 3 0102030405060 Pad ... 3600 3650 370 0 375 0 CHARACTER ‘a’ 73 00 72 50 72 00 71 50 71 00 70 50 70 00 Pad Y axis (pixels) 0102030405060 ANGULAR VELOCITY Pad X axis...

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... 83. 87 91.12 87. 28 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 ... Hierarchical 90. 87 88.00 79 .45 89 .74 82.51 77 .33 Yes Prototype 93.84 87. 81 86 .76 95.04 89.68 88.28 Yes Propinit 88. 47 78.38 76 .71 89.23 80.92 83.49 Yes Evenin...

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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 1 27 112 125 135 175 179 128 1 27 1 27 121 132 185 179 176 122 1 17 111 114 174 159 182 171 152 122 113 183 178 185 176 173 139 123 170 192 186 181 177 169 119 1 87 186 180 181 186 175 183 Figure .....

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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 41 116 56 38 80 116 41 38 80 41 118 56 86 80 (c) (d) Figure ... and Machine Intelligence, 7( 2), pp. 139–154, 1985. [14] Jacobs, D. W. “Robust and Efficient Detection of Conve...

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