Computer-Aided Intelligent Recognition Techniques and Applications (PDF)
(Sprache: Englisch)
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...
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...
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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.
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.
Inhaltsverzeichnis zu „Computer-Aided Intelligent Recognition Techniques and Applications (PDF)“
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
... mehr
(Xuechuan Wang (Canada). 17. Improving Mine Recognition through Processing and Dempster-Shafer Fusion of Multisensor Data (Nada Milisavljevic (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.
... weniger
Autoren-Porträt
Dr. Sarfraz received his B.S.c.in mathematics and statistics fromGovt. 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.
Bibliographische Angaben
- 2005, 1. Auflage, 518 Seiten, Englisch
- Herausgegeben: Muhammad Sarfraz
- Verlag: John Wiley & Sons
- ISBN-10: 047009415X
- ISBN-13: 9780470094150
- Erscheinungsdatum: 01.11.2005
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