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
About the Author
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.