Pattern recognition technologies and applications [electronic resource] : recent advances / Brijesh Verma, Michael Blumenstein [editors].
Publication details: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.Description: electronic texts (xviii, 435 p. : ill.) : digital filesISBN:- 9781599048093 (ebook)
- 1599048094 (ebook)
- Pattern perception
- Pattern perception -- Data processing
- Handwriting recognition
- Elastic matching techniques
- Signature verification
- Forgery detection system
- Speech recognition
- Forensic analysis
- Image pattern recognition
- Face recognition
- Occlusion sequence mining
- Surveillance videos
- Human detection
- Static images
- Visual pattern recognition
- Logic synthesis
- Signal processing systems
- Support vector machines
- Clustering methods
- 006.4 22
- Q327 .P383 2008e
- Also available in print.
eBooks
Includes bibliographical references (p. 388-423) and index.
1. Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition -- 2. Elastic Matching Techniques for Handwritten Character Recognition -- 3. State of the Art in Off-Line Signature Verification -- 4. An Automatic Off-Line Signature Verification and Forgery Detection System -- 5. Introduction to Speech Recognition -- 6. Seeking Patterns in the Forensic Analysis of Handwriting and Speech -- 7. Image Pattern Recognition-Based Morphological Structure and Applications -- 8. Robust Face Recognition Technique for a Real-Time Embedded Face Recognition System -- 9. Occlusion Sequence Mining for Activity Discovery from Surveillance Videos -- 10. Human Detection in Static Images -- 11. A Brain-Inspired Visual Pattern Recognition Architecture and Its Applications -- 12. Significance of Logic Synthesis in FPGA-Based Design of Image and Signal Processing Systems -- 13. A Novel Support Vector Machine with Class-Dependent Features for Biomedical Data -- 14. A Unified Approach to Support Vector Machines -- 15. Cluster Ensemble and Multi-Objective Clustering Methods -- 16. Implementing Negative Correlation Learning in Evolutionary Ensembles with Suitable Speciation Techniques -- 17. A Recurrent Probabilistic Neural Network for EMG Pattern Recognition -- Compilation of References -- About the Contributors -- Index.
Restricted to subscribers or individual electronic text purchasers.
"This book provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification"--Provided by publisher.
Also available in print.
Mode of access: World Wide Web.
Title from ebook home page (viewed on July 13, 2010).