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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.)Although successful recognition ... 904 850 84.444 51 4 320Traditional PCA 1409060 85 429 2006. Concluding RemarksIn this chapter, we have presented an overview of biometric techniques and focused in particular onface recognition...

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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 ... 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 der Malsburg, C. “Face recognition ... connections between the first and Facial Image Recognition 2 35 •Why does a face recognition system not use a single technique? Can the detection and recognition techniques be combined as one?•On...

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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, Ltd182 Pose-invariant Face Recognition 3.3.1 ... [2].164 Iris Recognition Using Neural NetworksTable 10.3 Percentage recognition for RBFNN with 10 dB SNR.C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11C1 95 50 000 0 000 0 4 5 C2 0 950 00 0 000 0 5 C3 0 0 98 ... Wilson, C. L. and Sirohey, S. “Human and machine recognition of faces: A survey,” Proceedingsof the IEEE, 83, pp. 7 05 740, 19 95. [4] Samal, A. and Lyengar, P. A. “Automatic recognition and analysis...

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... horizontal and verticalprojections of the test document image. COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS Edited byMuhammad SarfrazKing 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 Definition of a Formal Concept 455 2.3 Galois ... 253 A.1 Principal Component Analysis (PCA) 253 A.2 Non-Negative Matrix Factorization (NMF) 253 Appendix B: Fundamentals of Support Vector Machines 253 Acknowledgement 254 References 254 14. Intelligent...

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... (samples) 150 100 50 0 50 –100– 150 Angle (degree)ANGLE213 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 0Linear velocity (pixels/sampling period)3300 3 350 3400 3 450 350 0 355 0 3600 3 650 3700 3 750 CHARACTER ‘a’73007 250 72007 150 71007 050 7000Pad Y axis (pixels)01020304 050 ... Prototype-based Handwriting Recognition 3300 3 350 3400 3 450 350 0 355 0 3600 3 650 3700 3 750 CHARACTER ‘a’73007 250 72007 150 71007 050 7000Pad Y axis (pixels)241 5 301020304 050 60Pad X axis...

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... 83 .53 No Propinit 75. 85 70. 65 67.30 83.97 75. 78 75. 50No Eveninit 75. 74 58 .04 65. 25 79 .51 70.86 70.63No 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 88.28System 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 83.93 92.20 85. 04 82. 85 1-NN ... occurring with recognition in Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz© 20 05 John Wiley & Sons, LtdElastic Minutiae Matching 1 25 wherew =wx1wx2···wxnT(8.6)v...

COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 4 doc

... 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 Networksof ... Wilson, C. L. and Sirohey, S. “Human and machine recognition of faces: A survey,” Proceedingsof the IEEE, 83, pp. 7 05 740, 19 95. [4] Samal, A. and Lyengar, P. A. “Automatic recognition and analysis ... fingerprint recognition, face recognition, iris recognition, retina recognition, hand geometry, voice recognition and signature recognition, among others. Face recognition, in particular, has...

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... step.1234 5 67S1S2S3S4S5S6S7 50 55 60 65 70 75 80 85 90 95 1001 05 1101 15 1201 25 1301 35 1401 45 150 155 1601 65 1701 75 1801 85 1901 25 1231131271121 25 1 35 1 75 1791281271271211321 85 179176122117111114174 159 182171 152 1221131831781 85 1761731391231701921861811771691191871861801811861 75 183Figure ... Recognizing ROIs in Medical Images123 456 70 50 100 150 200 250 0 50 100 150 200 250 0 50 100 150 200 250 123 456 7123 456 7(a) (b) (c)Figure 15. 15 Ideal and absolute edge membership. (a) Ideal; ... topology preserving maps,”IEEE Transactions on Pattern Analysis and Machine Intelligence, 20 (5) , pp. 57 2 57 5, 1998.[ 15] Roweis, S. T. and Saul, L. K. “Nonlineaar dimensionality reduction by locally...

COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 7 doc

... informationClassification Experiments 3 15 Recognition rate (%) 25 30 35 40 45 50 55 60246 8 10 12 14 16 18 20 22(a)Dimension Recognition rate (%) 50 40 45 25 30 35 246 8 10 12 14 16 18 20 22(b)PCAMCE ... problem and can be solved by the interior point316 Feature Extraction and Compression with Classifiers Recognition rate (%)40 45 50 55 60 65 246810 12 14 16 18 20 22(a) Recognition rate (%) 50 4648404244246 ... 40.91Linear one vs. one 79.73 53 .03Polynomial one vs. all 59 . 85 42.42Polynomial one vs. one 90 .53 55 .63RBF one vs. all 78.98 51 . 95 RBF one vs. one 90.34 58 .01328 Improving Mine Recognition This step...

COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS phần 8 pps

... Recognition Techniques and Applications Edited by M. Sarfraz© 20 05 John Wiley & Sons, Ltd 358 Fast Object Recognition Using DP3941706979394170693986417069 56 388041116 56 388011641388041118 56 8680(c)(d)Figure ... and scale changes,” Pattern Recognition, 25, pp. 58 3 59 4, 1992.[6] Lowe, D. G. “Three-Dimensional Object Recognition from Single Two-Dimensional Images,” ArtificialIntelligence, 31, pp. 355 –3 95, ... image, and can be used forsubsequent different level understanding and 3D reconstruction. The main elements and workflow offurther understanding and 3D reconstruction are shown in Figure 19.12, and...

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