Computer-Aided Intelligent Recognition Techniques and Applications (Hardcover)

Description:

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.

 

Table of Contents:

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 Milisavljević (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.

 

 

 

 

描述：
智能識別方法最近在各種現代行業中已被證明是不可或缺的，包括計算機視覺、機器人技術、醫學影像、可視化和媒體等。此外，它們在傳統領域如字符識別、自然語言處理和個人身份識別中也起著關鍵作用。

這本尖端的書籍匯集了來自全球行業專家和研究人員的最新發現。對於所有需要全面、最新的智能識別技術現狀和未來潛力的指導的人來說，這是一本及時的指南。

《計算機輔助智能識別技術與應用》：
- 為用戶社區提供了在各個領域應用的系統和工具，包括：IT、教育、安全、銀行、警察、郵政服務、製造業、礦業、醫學、多媒體、娛樂、通信、數據可視化、知識提取、模式分類和虛擬現實。
- 在眾多學科中傳播信息，例如模式識別、人工智能、圖像處理、計算機視覺和圖形學、神經網絡、加密學、模糊邏輯、數據庫、演化算法、形狀和數值分析。
- 通過實際案例和案例研究來說明所有理論。

這本寶貴的資源對於計算機科學家、工程師和顧問來說是必讀的，他們需要關於計算機輔助智能識別技術和應用的最新發展的全面指導。其詳細、實用的方法對高年級本科生、研究生以及智能識別領域的研究人員和行業專家也很有興趣。

目錄：
- 前言
- 貢獻者名單
- 第一章：離線阿拉伯字符識別
- 第二章：車牌識別系統：沙特阿拉伯案例
- 第三章：從彩色視頻中提取文本字符的算法
- 第四章：手寫數字的分離：一種多智能體方法
- 第五章：基於原型的手寫識別使用形狀和執行原型
- 第六章：複雜背景下的文件圖像中的標誌檢測
- 第七章：智能在線簽名驗證系統