Computer-Aided Intelligent Recognition Techniques and Applications (eBook)

Muhammad Sarfraz (Herausgeber)

eBook Download: PDF
2005 | 1. Auflage
520 Seiten
Wiley (Verlag)
978-0-470-09415-0 (ISBN)

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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.



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.

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.

Preface.

List of Contributors.

1. On Offline Arabic Character Recognition (MuhammadSarfraz, Abdulmalek Zidouri, and Syed Nazim Nawaz (SaudiArabia).

2. License Plate Recognition System: Saudi Arabian Case(Muhammad Sarfraz and Mohammed Jameel Ahmed (SaudiArabia).

3. Algorithms for Extracting Textual Characters in ColorVideo (Edward K. Wong and Minya Chen(USA).

4. Separation of Handwritten Touching Digits: AMulti-Agents Approach (Ashraf Elnagar (UAE ) and RedaAl-Hajj (Canada).

5. Prototype-based Handwriting Recognition using Shape andExecution Prototypes (Miguel L. Bote-Lorenzo, EduardoGómez-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 (TheNetherlands).

9. Personal Authentication Using the Fusion of MultiplePalm-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 SubspacesTechniques (Mohamed Deriche and Mohammed Aleemuddin(Saudi Arabia).

12. Developmental Vision: Adaptive Recognition of HumanFaces by Humanoid Robots (Hon-fai Chia and Ming Xie(Singapore).

13. Empirical Study on Appearance-based Binary AgeClassification (Mohammed Yeasin, Rahul Khare, and RajeevSharma (USA).

14. Intelligent Recognition in Medical PatternUnderstanding and Cognitive Analysis (Marek R. Ogiela andRyszard Tadeusiewicz (Poland).

15. The Road Map for Recognizing Regions of Interest inMedical Images (Sabah M.A. Mohammed, Jinan A.W. Fiaidhi,and Lei Yang (Canada).

16. Feature Extraction and Compression with Discriminativeand Nonlinear Classifiers and Applications in Speech Recognition(Xuechuan Wang (Canada).

17. Improving Mine Recognition through Processing andDempster-Shafer Fusion of Multisensor Data (NadaMilisavljevic (Belgium) and Isabelle Bloch (France).

18. Fast Object Recognition Using Dynamic Programming fromCombination of Salient Line Groups (Dong Joong Kang, JongEun Ha, and In So Kweon (Korea).

19. Holo-Extraction and Intelligent Recognition of DigitalCurves Scanned from Paper Drawings (Ke-Zhang Chen,Xi-Wen Zhang, Zong-Ying Ou, and Xin-AnFeng(China).

20. Topological Segmentation and Smoothing ofDiscrete Curve Skeletons (Wenjie Xie, Renato Perucchio, DavidSedmera, and Robert P. Thompson (USA).

21. Applications of Clifford Valued Neural Networks toPattern Classification and Pose Estimation (EduardoBayro-Corrochano and Nancy Arana-Daniel (México).

22. Intelligent Recognition: Components of the Short TimeFourier Transform vs. Conventional Approaches(Leonid Gelman,Mike Sanderson, Chris Thompson, and Paul Anuzis(UK).

23. Conceptual Data Classification: Application forKnowledge Extraction(Ahmed Hasnah, Ali Jaoua, and Jihad Jaam(Qatar).

24. Cryptographic Communications With ChaoticSemiconductor Lasers (Andrés Iglesias(Spain).

Index.

Erscheint lt. Verlag 1.11.2005
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte Computer Science • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Informatik • Intelligente Systeme • Intelligente Systeme u. Agenten • Intelligent Systems & Agents • Mustererkennung • Pattern Analysis • Programmierung u. Software-Entwicklung • Programming & Software Development
ISBN-10 0-470-09415-X / 047009415X
ISBN-13 978-0-470-09415-0 / 9780470094150
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