Logo

Text Search in Document Images Based on Hausdorff Distance Measures

Andreev, Andrey and Kirov, Nikolay (2008) Text Search in Document Images Based on Hausdorff Distance Measures. In: Proceedings of the International conference on computer systems and technologies and Workshop for PhD students in computing CompSysTech'08, Gabrovo, Bulgaria, 12-13 June. Association for Computing Machinery, Sofia, II.5-1. ISBN 9789549641523

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB

Abstract

The Hausdorff type distances between the sets of points on the plane are the commonly used similarity measures for binary images. In this work we present several such measures in a unified manner and introduce a new, naturally arisen variant of Hausdorff distance. The matching performance of all similarity measures is compared by computer experiments, using real word images from a scanned book.

Item Type:Book Section
Subjects:Computer science and information technologies > Computer science. Computer programming
Mathematics
ID Code:210
Deposited By: Доц. Николай Киров
Deposited On:08 Sep 2008 11:04
Last Modified:21 Aug 2012 12:35

Repository Staff Only: item control page