Document Image Analysis: Current Trends and Challenges in Graphics Recognition

✍ Scribed by K.C. Santosh

• Publisher: Springer
• Year: 2018
• Tongue: English
• Leaves: 184
• Category: Library

✦ Synopsis

The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined.
The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.

✦ Table of Contents

Front Matter ....Pages i-xx
Document Image Analysis (K. C. Santosh)....Pages 1-15
Graphics Recognition (K. C. Santosh)....Pages 17-34
Graphics Recognition and Validation Protocol (K. C. Santosh)....Pages 35-51
Statistical Approaches (K. C. Santosh)....Pages 53-80
Structural Approaches (K. C. Santosh)....Pages 81-119
Hybrid Approaches (K. C. Santosh)....Pages 121-143
Syntactic Approaches (K. C. Santosh)....Pages 145-161
Conclusion and Challenges (K. C. Santosh)....Pages 163-169
Back Matter ....Pages 171-174