COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 4 potx
... 171 399.5 523.9 729.1 1 049 .6 144 8.6 1905 .4 250.9 1999 2000 2001 2002 2003 20 04 2005 year revenue $m 2500 2000 1500 1000 500 0 Figure 11.1 Total biometric technology revenues [1]. 4. 2 2.7 6.2 0 .4 15 .4 10 .4 11.9 48 .8 iris keystroke facial hand finger middlew ... signature Press Any Key to Continue 100 200 300 46 44 42 40 38 36 Figure 10.9 Window showing all the steps of...
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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 ... Wilson, C. L. and Sirohey, S. “Human and machine recognition of faces: A survey,” Proceedings of the IEEE, 83, pp. 705– 740 , 1995. [4] Samal, A. and Lyengar, P. A. “Automatic rec...
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... 288719 83.333 42 9 200 View-based PCA 90 48 50 84. 444 5 14 320 Traditional PCA 140 9060 85 42 9 200 6. Concluding Remarks In this chapter, we have presented an overview of biometric techniques and focused ... for image recognition (e.g. handwriting recognition [45 ], optical character and text recognition [46 ], face recognition [47 49 ], shape classification [50], etc.) A...
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COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 1 ppsx
... Gelman, Mike Sanderson, Chris Thompson and Paul Anuzis (UK) 1. Introduction 44 0 2. Theoretical Analysis 44 0 3. Application 44 7 4. Conclusions 44 8 Acknowledgement 45 0 References 45 0 23. Conceptual ... Transmitter and Receiver Systems 47 6 3. Applications to Cryptographic Communications 47 8 3.1 Chaotic Masking 47 8 3.2 Chaotic Switching 47 9 4. Conclusions 48 1 Referen...
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COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 2 pot
... word recognition for real-time applications, ” Proceedings of the International Conference on Document Analysis and Recognition, 1, pp. 24 27, 1995. [3] Kim, H. J. and Kim, P. K. “On-line recognition ... one shape Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley & Sons, Ltd Using Multiframe Edge Information to...
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COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 3 pptx
... Propinit 88 .47 78.38 76.71 89.23 80.92 83 .49 Yes Eveninit 85.08 73.11 75 .40 89 .42 80.02 82.28 Yes k-means 93.32 87.58 86. 34 94. 61 89.05 88. 24 Yes Hierarchical 91.91 86.86 84. 43 93.17 88.15 86. 84 method ... 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 77.33 Yes Prototype 93. 84...
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COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 5 doc
... s) Max. recognition accuracy Memory usage View-based LDA 183650 88.333 5 14 320 Traditional LDA 288719 83.333 42 9 200 View-based PCA 90 48 50 84. 444 5 14 320 Traditional PCA 140 9060 85 42 9 200 6. ... 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 us...
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COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 6 pptx
... and Cootes, T. F. “Towards Automatic Simulation of Aging Effects on Face Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 24( 4), pp. 44 2 45 5, 2002. [6] Miller, H. M. and ... change and is therefore often used for edge detection. −1 −1 −1 −1 8 −1 −1 −1 −1 and −1 4 −1 4 20 4 −1 4 −1 The Sobel operator performs a 2D spatial gradient measurement on an im...
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COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 7 doc
... information Classification Experiments 315 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 ... and can be solved by the interior point 316 Feature Extraction and Compression with Classifiers Recognition rate (%) 40 45 50 55 60 65 2 46 8 10 12 14 1...
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COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 8 pps
... results. J 1 J 2 J 3 J 4 Model 1 (39, 80) (80, 41 ) (41 , 70) (70, 69) (39, 79) (86, 41 ) (41 , 70) (70, 69) (39, 86) (86, 41 ) (41 , 70) (70, 69) Model 2 (118, 41 ) (41 , 80) (80, 38) (38, 56) (40 , 41 ) (41 , 80) (80, ... Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley & Sons, Ltd 358 Fast Object Recognition Using DP 39 41...
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