Machine Learning in Document Analysis and Recognition
| Author | : Simone Marinai |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 435 |
| Release | : 2008-01-10 |
| ISBN-13 | : 9783540762799 |
| ISBN-10 | : 3540762795 |
| Rating | : 4/5 (95 Downloads) |
Book Synopsis Machine Learning in Document Analysis and Recognition by : Simone Marinai
Download or read book Machine Learning in Document Analysis and Recognition 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. 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.
