Text search in document images based on Hausdorff distance measures

Authors:
Andrey Andreev;Nikolay Kirov
Affiliations:
Bulgarian Academy of Sciences;New Bulgarian University
Venue:
CompSysTech '08 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Year:
2008

Citing 3
Cited 0

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Object matching algorithms using robust Hausdorff distance measures

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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.