Advances in Character Recognition

Description

Издательство InTech, 2012, -240 pp.This book presents advances in character recognition, and it consists of 12 chapters that cover wide range of topics on different aspects of character recognition. Hopefully, this book will serve as a reference source for academic research, for professionals working in the character recognition field and for all interested in the subjectEfficient Transformation Estimation Using Lie Operators: Theory, Algorithms, and Computational Efficiencies SVM Classifiers – Concepts and Applications to Character Recognition Online Handwritten Chinese/Japanese Character Recognition Applying OCR in the Processing of Thermal Images with Temperature Scales Preprocessing for Images Captured by Cameras Character Recognition from Virtual Scenes and Vehicle License Plates Using Genetic Algorithms and Neural Networks A Novel Method for Multifont Arabic Characters Features Extraction Decision Tree as an Accelerator for Support Vector Machines Generating Training Sets for the Automatic Recognition of Handwritten Documents Stroke-Based Cursive Character Recognition Finger Braille Recognition System Usefulness of Only One User’s Handwritten Character on Offline Personal Character Recognition