Machine Learning in Document Analysis and Recognition
Download or Read eBook Machine Learning in Document Analysis and Recognition PDF written by Simone Marinai and published by Springer Science & Business Media. This book was released on 2008-01-10 with total page 435 pages. Available in PDF, EPUB and Kindle.
| Author | : Simone Marinai |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 435 |
| Release | : 2008-01-10 |
| ISBN-10 | : 9783540762799 |
| ISBN-13 | : 3540762795 |
| Rating | : 4/5 (99 Downloads) |
Book Synopsis Machine Learning in Document Analysis and Recognition by : Simone Marinai
Book excerpt: 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. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.
