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

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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
ID Code:210
Deposited By: Доц. Николай Киров
Deposited On:08 Sep 2008 11:04
Last Modified:21 Aug 2012 12:35

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