[...]... character recognition, iris recognition, license plate recognition, fingerprint recognition, signature recognition, recognition in medical pattern understanding, mine recognition, and many others can be intelligently solved and automated In addition to its critical importance in the traditional fields of character recognition, natural language processing and personal identification, more recently, intelligent. .. academia and industry The twenty-four chapters within this book will cover computer-aided intelligent recognition techniques, applications, systems and tools The book is planned to be of most use to researchers, computer scientists, practising engineers, and many others who seek state-of-the-art techniques, applications, systems and tools for intelligent recognition It will also be equally and extremely... between man Computer-Aided Intelligent Recognition Techniques and Applications © 2005 John Wiley & Sons, Ltd Edited by M Sarfraz 2 Offline Arabic Character Recognition and machine Some of the applications of OCR include automatic processing of data, check verification and a large variety of banking, business and scientific applications OCR provides the advantage of little human intervention and higher... Masking 3.2 Chaotic Switching 4 Conclusions References 469 470 472 472 473 475 476 478 478 479 481 482 Index 485 Preface Intelligent recognition techniques, applications, systems and tools are extremely useful in a number of academic and industrial settings Specifically, intelligent recognition plays a significant role in multidisciplinary problem solving It is extremely useful for personal identification... used over the past few decades by many researchers These techniques were applied for the automatic recognition of both machine and hand-printed characters An immense amount of research has been carried out on the recognition of Latin and Chinese characters Against this background, only few papers have addressed the problem of Arabic character recognition One of the main reasons behind this is the difficulty... a common choice Unfortunately, as the number of inputs and outputs grow, the MLP grows quickly and its training becomes very expensive In addition, it is not easy to come up with a suitable network design and many trial -and- error cycles are required Radial Basis Function (RBF) networks, on the other hand, offer better features for recognition applications In addition to highly efficient training, no... trained and the characters are recognized Recognition of characters is attempted using two approaches, a syntactic approach and a neural network approach 1 Introduction In the past two decades, valuable work has been carried out in the area of character recognition and a large number of technical papers and reports have been devoted to this topic Character recognition systems offer potential advantages... Age Groups 5 Conclusions Appendix A: Data Projection Techniques A.1 Principal Component Analysis (PCA) A.2 Non-Negative Matrix Factorization (NMF) Appendix B: Fundamentals of Support Vector Machines Acknowledgement References 14 Intelligent Recignition in Medical Pattern Understanding and Cognitive Analysis Marek R Ogiela and Ryszard Tadeusiewicz (Poland) 1 Introduction 2 Preliminary Transformation of... Biometric Technology 2.3 Multimodal Biometric Systems 3 Face Recognition Algorithms 3.1 Template-based Face Recognition 3.2 Appearance-based Face Recognition 3.3 Model-based Face Recognition 4 Linear Subspace Techniques 4.1 Principal Component Analysis 4.2 Linear Discriminant Analysis 4.3 Independent Component Analysis 5 A Pose-invariant System for Face Recognition 5.1 The Proposed Algorithm 5.2 Pose Estimation... individual characters is the most important and difficult stage in an Arabic optical character recognition system To achieve good recognition rate and performance, a character recognition system should have a good segmentation algorithm Since the early eighties there have been reports about successful research projects in the field of printed Arabic character recognition Connectivity of characters being . Arabia COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS Edited by Muhammad Sarfraz King Fahd University of Petroleum and Minerals,. alt="" COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS Edited by Muhammad Sarfraz King Fahd University of Petroleum and Minerals, Kingdom of Saudi Arabia COMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES. like character recognition, iris recognition, license plate recognition, fingerprint recognition, signature recognition, recognition in medical pattern understanding, mine recognition, and many others