Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and effective systems, and presents many examples. Practitioners, researchers, and students in computer science, electrical engineering, andradiology, as well as those working at financial institutions, will value this unique and authoritative reference to diverse applications methodologies.
@introbul:Key Features @bul:* Coverage includes:
- Optical character recognition
- Speech classification
- Medical imaging
- Paper currency recognition
- Classification reliability techniques
- Sensor technology @text:Algorithms and architectures for achieving practical and effective systems are emphasized, with many examples illustrating the text. Practitioners, researchers, and students in computer science, electrical engineering, and radiology, as wellk as those working at financial institutions, will find this volume a unique and comprehensive reference source for this diverse applications area.
Practitioners, research workers, academicians, and students in computer science and electrical engineering, as well as financial institutions, radiologists, and medical diagnosis practitioners.
Lampinen, Pattern Recognition. Alpaydin and Gurgen, Comparison of Statistical and Neural Classifiers and their Applications to Optical Character Recognition and Speech Classification. Sun and Nekovei, MedicalImaging. Takeda and Omatu, Paper Currency Recognition. Cordella and Stefano, Neural Network Classification Reliability: Problems and Applications. Yagi, Kobayaski, and Matsumoto, Parallel Analog Image Processing: Solving Regularization Problems with Architecture Inspired by the Vertebrate Retinal Circuit. Setiono, Algorithmic Techniques and their Applications. Chen and Chang, Learning Algorithms and Applications of Principal Component Analysis. Merat and Villalobos, Learning Evaluation and Pruning Techniques.
- No. of pages:
- © Academic Press 1998
- 11th December 1997
- Academic Press
- eBook ISBN:
- Hardcover ISBN:
"A highly specialized work...but full of varied information" - P.W. Hawkes, Ultramicroscopy 80