Computer-Aided Intelligent Recognition Techniques and Applications
Published on 1. November 2005
518 pages
978-0-470-09415-0 (ISBN)
Description
Intelligent recognition methods have recently proven to beindispensable in a variety of modern industries, including computervision, robotics, medical imaging, visualization and the media.Furthermore, they play a critical role in the traditional fieldssuch as character recognition, natural language processing andpersonal identification.
This cutting-edge book draws together the latest findings ofindustry experts and researchers from around the globe. It is atimely guide for all those require comprehensive, state-of-the-artadvice on the present status and future potential of intelligentrecognition technology.
Computer-Aided Intelligent Recognition Techniques andApplications:
* Provides the user community with systems and tools forapplication 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, patternclassification and virtual reality.
* Disseminates information in a plethora of disciplines, forexample pattern recognition, AI, image processing, computer visionand graphics, neural networks, cryptography, fuzzy logic,databases, evolutionary algorithms, shape and numericalanalysis.
* Illustrates all theory with real-world examples and casestudies.
This valuable resource is essential reading for computerscientists, engineers, and consultants requiring up-to-datecomprehensive guidance on the latest developments in computer-aidedintelligent recognition techniques and applications. Its detailed,practical approach will be of interest to senior undergraduate andgraduate students as well as researchers and industry experts inthe field of intelligent recognition.
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Muhammad Sarfraz
Computer-Aided Intelligent Recognition Techniques and Applications
Software
12/2005
Wiley
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Muhammad Sarfraz
Computer-Aided Intelligent Recognition Techniques and Applications
Book
05/2005
1st Edition
Wiley
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Person
Dr. Sarfraz received his B.S.c.in mathematics and statistics fromGovt. College, Lahore, Pakistan in 1977, an M.S.c in mathematicsand 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 GeometricDesign also at The University of Brunel.
Dr. Sarfraz is currently Associate Professor at King FahdUniversity of Petroleum and Minerals, Saudi Arabia. He is a memberof many professional bodies including the IEEE and the IEEEComputer Society. He has published three books and written numerousjournal papers and reports.
Content
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.
