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Machine Learning in Document Analysis and Recognition [Repost]
![Machine Learning in Document Analysis and Recognition [Repost]](https://pixhost.icu/avaxhome/4b/75/0028754b.jpeg)
Simone Marinai, Hiromichi Fujisawa - Machine Learning in Document Analysis and Recognition
Published: 2008-02-25 | ISBN: 3540762795 | PDF | 434 pages | 9 MB
The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world including pointers to challenges and opportunities for future research directions. The main goals of the book are identification of good practices for the use of learning strategies in DAR, identification of DAR tasks more appropriate for these techniques, and highlighting new learning algorithms that may be successfully applied to DAR.