Text image spotting using local crowdedness and hausdorff distance

Authors:
Hwa-Jeong Son;Sang-Cheol Park;Soo-Hyung Kim;Ji-Soo Kim;GueeSang Lee;DeokJai Choi
Affiliations:
Department of Computer Science, Chonnam National University, Gwangju, Korea;Department of Computer Science, Chonnam National University, Gwangju, Korea;Department of Computer Science, Chonnam National University, Gwangju, Korea;Department of Computer Science, Chonnam National University, Gwangju, Korea;Department of Computer Science, Chonnam National University, Gwangju, Korea;Department of Computer Science, Chonnam National University, Gwangju, Korea
Venue:
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Year:
2006

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Abstract

This paper investigates a Hausdorff distance, which is used for measurement of image similarity, to see whether it is also effective for document image retrieval. We proposed a method using a local crowdedness algorithm and a modified Hausdorff distance which has an ability of detection of partial text image in a document image. We found that the proposed method achieved a reliable performance of text spotting on postal envelops.