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CAIP
2009
Springer

A Novel Approach for Word Spotting Using Merge-Split Edit Distance

10 years 6 months ago
A Novel Approach for Word Spotting Using Merge-Split Edit Distance
Edit distance matching has been used in literature for word spotting with characters taken as primitives. The recognition rate however, is limited by the segmentation inconsistencies of characters (broken or merged) caused by noisy images or distorted characters. In this paper, we have proposed a Mergesplit edit distance which overcomes these segmentation problems by incorporating a multi-purpose merge cost function. The system is based on the extraction of words and characters in the text and then attributing each character with a set of features. Characters are matched by comparing their extracted feature sets using Dynamic Time Warping (DTW) while the words are matched by comparing the strings of characters using the proposed Merge-Split Edit distance algorithm. Evaluation of the method on 19th century historical document images exhibits extremely promising results.
Khurram Khurshid, Claudie Faure, Nicole Vincent
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where CAIP
Authors Khurram Khurshid, Claudie Faure, Nicole Vincent
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