Computer-Aided Intelligent Recognition Techniques and Applications (eBook, PDF)

Redaktion: Sarfraz, Muhammad

• Format: PDF

Produktbeschreibung

Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification. This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe. It is a timely guide for all those require comprehensive, state-of-the-art advice on the present status and future potential of intelligent recognition technology. Computer-Aided Intelligent Recognition Techniques and Applications: * Provides the user community with systems and tools for application in a very wide range of areas, including: IT, education, security, banking, police, postal services, manufacturing, mining, medicine, multimedia, entertainment, communications, data visualization, knowledge extraction, pattern classification and virtual reality. * Disseminates information in a plethora of disciplines, for example pattern recognition, AI, image processing, computer vision and graphics, neural networks, cryptography, fuzzy logic, databases, evolutionary algorithms, shape and numerical analysis. * Illustrates all theory with real-world examples and case studies. This valuable resource is essential reading for computer scientists, engineers, and consultants requiring up-to-date comprehensive guidance on the latest developments in computer-aided intelligent recognition techniques and applications. Its detailed, practical approach will be of interest to senior undergraduate and graduate students as well as researchers and industry experts in the field of intelligent recognition.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 518
• Erscheinungstermin: 1. November 2005
• Englisch
• ISBN-13: 9780470094150
• Artikelnr.: 37290276

Autorenporträt

Dr. Sarfraz received his B.S.c.in mathematics and statistics from Govt. College, Lahore, Pakistan in 1977, an M.S.c in mathematics and an M.S.c in Numerical Analysis from the University of Brunel. He then went on to complete his P.h.D in Computer Aided Geometric Design also at The University of Brunel. Dr. Sarfraz is currently Associate Professor at King Fahd University of Petroleum and Minerals, Saudi Arabia. He is a member of many professional bodies including the IEEE and the IEEE Computer Society. He has published three books and written numerous journal papers and reports.

Inhaltsangabe

Preface. List of Contributors. 1. On Offline Arabic Character Recognition
(Muhammad Sarfraz, Abdulmalek Zidouri, and Syed Nazim Nawaz (Saudi Arabia).
2. License Plate Recognition System: Saudi Arabian Case (Muhammad Sarfraz
and Mohammed Jameel Ahmed (Saudi Arabia). 3. Algorithms for Extracting
Textual Characters in Color Video (Edward K. Wong and Minya Chen(USA). 4.
Separation of Handwritten Touching Digits: A Multi-Agents Approach (Ashraf
Elnagar (UAE ) and Reda Al-Hajj (Canada). 5. Prototype-based Handwriting
Recognition using Shape and Execution Prototypes (Miguel L. Bote-Lorenzo,
Eduardo Gómez-Sánchez, Yannis A. Dimitriadis (Spain). 6. Logo Detection in
Document Images with Complex Backgrounds (Tuan D. Pham and Jinsong Yang
(Australia). 7. An Intelligent On-line Signature Verification System (Bin
Li (China) and David Zhang (Hong Kong). 8. Hybrid Fingerprint Recognition
using Minutiae and Shape (Asker Bazen, Raymond Veldhuis, and Sabih Gerez
(The Netherlands). 9. Personal Authentication Using the Fusion of Multiple
Palm-print Features (Chin-Chuan Han ( Taiwan, R.O.C.). 10. Intelligent Iris
Recognition Using Neural Networks (Muhammad Sarfraz, Mohamed Deriche,
Muhammad Moinuddin, and Syed Saad Azhar Ali (Saudi Arabia). 11. Pose
Invariant Face Recognition using Subspaces Techniques (Mohamed Deriche and
Mohammed Aleemuddin (Saudi Arabia). 12. Developmental Vision: Adaptive
Recognition of Human Faces by Humanoid Robots (Hon-fai Chia and Ming Xie
(Singapore). 13. Empirical Study on Appearance-based Binary Age
Classification (Mohammed Yeasin, Rahul Khare, and Rajeev Sharma (USA). 14.
Intelligent Recognition in Medical Pattern Understanding and Cognitive
Analysis (Marek R. Ogiela and Ryszard Tadeusiewicz (Poland). 15. The Road
Map for Recognizing Regions of Interest in Medical Images (Sabah M.A.
Mohammed, Jinan A.W. Fiaidhi, and Lei Yang (Canada). 16. Feature Extraction
and Compression with Discriminative and Nonlinear Classifiers and
Applications in Speech Recognition (Xuechuan Wang (Canada). 17. Improving
Mine Recognition through Processing and Dempster-Shafer Fusion of
Multisensor Data (Nada Milisavljevi(Belgium) and Isabelle Bloch (France).
18. Fast Object Recognition Using Dynamic Programming from Combination of
Salient Line Groups (Dong Joong Kang, Jong Eun Ha, and In So Kweon (Korea).
19. Holo-Extraction and Intelligent Recognition of Digital Curves Scanned
from Paper Drawings (Ke-Zhang Chen, Xi-Wen Zhang, Zong-Ying Ou, and Xin-An
Feng(China). 20. Topological Segmentation and Smoothing of Discrete Curve
Skeletons (Wenjie Xie, Renato Perucchio, David Sedmera, and Robert P.
Thompson (USA). 21. Applications of Clifford Valued Neural Networks to
Pattern Classification and Pose Estimation (Eduardo Bayro-Corrochano and
Nancy Arana-Daniel (México). 22. Intelligent Recognition: Components of the
Short Time Fourier Transform vs. Conventional Approaches(Leonid Gelman,
Mike Sanderson, Chris Thompson, and Paul Anuzis (UK). 23. Conceptual Data
Classification: Application for Knowledge Extraction(Ahmed Hasnah, Ali
Jaoua, and Jihad Jaam (Qatar). 24. Cryptographic Communications With
Chaotic Semiconductor Lasers (Andrés Iglesias (Spain). Index.