Japanese / English

Detail of Publication

Text Language English
Authors Masakazu Iwamura, Tomohiko Tsuji, Koichi Kise
Title Memory-Based Recognition of Camera-Captured Characters
Journal Proceedings of the 9th IAPR International Workshop on Document Analysis Systems (DAS2010)
Pages pp.89-96
Reviewed or not Reviewed
Month & Year June 2010
Abstract This paper addresses how to quickly recognize a characterpattern using a lot of case examples without learning. Herewithout learning means just finding the most similar examplefrom the case examples, and pretend as if the OCR understandsthe definition of the character. This strategy isexpected to work well in most cases with a large dataset,however, also expected to take a lot of time for finding themost similar example. In this paper, we show that a lotof case examples can be processed in a short time. As atestbed, we handle recognition problem of camera-capturedprinted characters. Using a database storing 100 fonts, theproposed method achieved 97.0% of recognition rate for imagescaptured from the right angle and 95.8% for those from45 deg. with 4.56ms of processing time, that is about 220characters per second including everything.
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