Handwritten Document Image Processing

ISBN-13: 9783639091922 / Angielski / Miękka / 2008 / 220 str.

Yefeng Zheng; David Doermann; Huiping Li

Opis

Throughout history, handwriting has been the primary means of recording information that is persevered across both time and space. With the coming of the electronic document era, we are challenged with making an enormous amount of handwritten documents available for electronic access. Though many handwritten documents contain only handwriting, now, more are mixed with printed text, noise, and background patterns. Handwriting in a printed document often indicates corrections, additions, or other supplemental information that should be treated differently from the main content. The mixture of handwriting with other components presents a great challenge for making an original document electronically accessible. In this book, we propose a novel approach to separating a handwritten document into different layers, such as handwriting, machine printed text, noise, and background patterns. The identified handwriting may be further analyzed. For example, we propose a novel point-pattern based handwriting matching technique and apply it for handwriting synthesis and retrieval.

O autorze

Yefeng Zheng is a research scientist at Siemens Corporate
Research. David Doermann is a codirector of the Laboratory for
Language and Media Processing at the University of Maryland. He
is a coeditor of the International Journal on Document Analysis
and Recognition. Huiping Li is the Chief Technology Officer of
Applied Media Analysis, Inc.