Printed and Handwritten Document Analysis: A Machine Learning Perspective

0 avg rating
( 0 ratings by Goodreads )
 
9781482219623: Printed and Handwritten Document Analysis: A Machine Learning Perspective
View all copies of this ISBN edition:
 
 

This reference book presents the fundamentals of machine learning tools commonly used by researchers. The book includes graphical models like Bayesian networks and hidden Markov models with wider application potentials in the document analysis area. It also covers distributions that have not yet been used, such as circular distributions with potential use in handwriting recognition and in color scene text image segmentation. The book also details which―and how―these machine learning tools are useful at different stages. A full chapter is devoted to online handwriting recognition

"synopsis" may belong to another edition of this title.

(No Available Copies)

Search Books:



Create a Want

If you know the book but cannot find it on AbeBooks, we can automatically search for it on your behalf as new inventory is added. If it is added to AbeBooks by one of our member booksellers, we will notify you!

Create a Want