COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 7 pot

... 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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... 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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... 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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... 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 ... Wilson, C. L. and Sirohey, S. “Human and machine recognition of faces: A survey,” Proceedings of the IEEE, 83, pp. 70 5 74 0, 1995. [4] Samal, A. and Lyengar, P. A. “...

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

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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 ... =ln  R0  I0  R1  I1  Rj and  Ij are standard deviations of the components X R and X I respectively for hypothesis H j and r is the correlation coefficient between feat...

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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 ... 173 2.2 Selecting the Right Biometric Technology 177 2.3 Multimodal Biometric Systems 177 3. Face Recognition Algorithms 178 3.1 Template-based Face Recogniti...

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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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... 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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