Computer-Aided Intelligent Recognition Techniques and Applications (Hardcover)
暫譯: 計算機輔助智能識別技術與應用（精裝版）

Muhammad Sarfraz

Computer-Aided Intelligent Recognition Techniques and Applications (Hardcover)
  • 出版商: Wiley
  • 出版日期: 2005-07-01
  • 定價: $5,998
  • 售價: 9.5 折 $5,698
  • 語言: 英文
  • 頁數: 518
  • 裝訂: Hardcover
  • ISBN: 0470094141
  • ISBN-13: 9780470094143
  • 相關分類: 人工智慧、Computer Vision

    • 立即出貨 (庫存=1)

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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.

 

 

 

 

商品描述(中文翻譯)

**描述：**

智能識別方法最近在各種現代產業中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。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扮演著關鍵角色。

這本前沿的書籍匯集了來自全球的行業專家和研究人員的最新研究成果。它是所有需要全面、最先進建議的讀者的及時指南，涵蓋智能識別技術的當前狀態和未來潛力。

**計算機輔助智能識別技術與應用：**

- 提供用戶社群在非常廣泛的領域中應用的系統和工具，包括：資訊科技、教育、安全、銀行、警察、郵政服務、製造、採礦、醫療、多媒體、娛樂、通訊、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、人工智慧、影像處理、計算機視覺和圖形、神經網絡、密碼學、模糊邏輯、數據庫、進化算法、形狀和數值分析。
- 用真實世界的例子和案例研究來說明所有理論。

這本寶貴的資源是計算機科學家、工程師和顧問的必讀書籍，提供有關計算機輔助智能識別技術和應用的最新發展的最新綜合指導。其詳細、實用的方法將吸引高年級本科生和研究生，以及智能識別領域的研究人員和行業專家。

**目錄：**

前言。

貢獻者名單。

1. 離線阿拉伯字符識別（Muhammad Sarfraz, Abdulmalek Zidouri, 和 Syed Nazim Nawaz（沙烏地阿拉伯））。

2. 車牌識別系統：沙烏地阿拉伯案例（Muhammad Sarfraz 和 Mohammed Jameel Ahmed（沙烏地阿拉伯））。

3. 從彩色視頻中提取文本字符的算法（Edward K. Wong 和 Minya Chen（美國））。

4. 手寫接觸數字的分離：多代理方法（Ashraf Elnagar（阿聯酋）和 Reda Al-Hajj（加拿大））。

5. 基於原型的手寫識別使用形狀和執行原型（Miguel L. Bote-Lorenzo, Eduardo Gómez-Sánchez, Yannis A. Dimitriadis（西班牙））。

6. 在複雜背景下的文檔圖像中的標誌檢測（Tuan D. Pham 和 Jinsong Yang（澳大利亞））。

7. 智能在線簽名驗證系統（Bin Li（中國）和 David Zhang（香港））。

8. 使用特徵點和形狀的混合指紋識別（Asker Bazen, Raymond Veldhuis, 和 Sabih Gerez（荷蘭））。

9. 使用多個掌紋特徵融合的個人身份驗證（Chin-Chuan Han（台灣，R.O.C.））。

10. 使用神經網絡的智能虹膜識別（Muhammad Sarfraz, Mohamed Deriche, Muhammad Moinuddin, 和 Syed Saad Azhar Ali（沙烏地阿拉伯））。

11. 使用子空間技術的姿勢不變臉部識別（Mohamed Deriche 和 Mohammed Aleemuddin（沙烏地阿拉伯））。

12. 發展視覺：人形機器人對人臉的自適應識別（Hon-fai Chia 和 Ming Xie（新加坡））。

13. 基於外觀的二元年齡分類的實證研究（Mohammed Yeasin, Rahul Khare, 和 Rajeev Sharma（美國））。

14. 醫學模式理解和認知分析中的智能識別（Marek R. Ogiela 和 Ryszard Tadeusiewicz（波蘭））。

15. 醫學影像中感興趣區域識別的路線圖（Sabah M.A. Mohammed, Jinan A.W. Fiaidhi, 和 Lei Yang（加拿大））。

16. 使用區分性和非線性分類器的特徵提取和壓縮及其在語音識別中的應用（Xuechuan Wang（加拿大））。

17. 通過處理和 Dempster-Shafer 融合多傳感器數據來改善礦山識別（Nada Milisavljević（比利時）和 Isabelle Bloch（法國））。

18. 使用動態規劃從顯著線組合中快速物體識別（Dong Joong Kang, Jong Eun Ha, 和 In So Kweon（韓國））。

19. 從紙質圖紙掃描的數字曲線的全提取和智能識別（Ke-Zhang Chen, Xi-Wen Zhang, Zong-Ying Ou, 和 Xin-An Feng（中國））。

20. 離散曲線骨架的拓撲分割和平滑（Wenjie Xie, Renato Perucchio, David Sedmera, 和 Robert P. Thompson（美國））。

21. 克利福德值神經網絡在模式分類和姿勢估計中的應用（Eduardo Bayro-Corrochano 和 Nancy Arana-Daniel（墨西哥））。

22. 智能識別：短時傅立葉變換的組件與傳統方法（Leonid Gelman, Mike Sanderson, Chris Thompson, 和 Paul Anuzis（英國））。

23. 概念數據分類：知識提取的應用（Ahmed Hasnah, Ali Jaoua, 和 Jihad Jaam（卡塔爾））。

24. 使用混沌半導體激光的密碼通信（Andrés Iglesias（西班牙））。

索引。

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