Skip to main content

1992 | OriginalPaper | Buchkapitel

Recognition of Hand-Printed Chinese Characters and the Japanese Cursive Syllabary

verfasst von : Kazuhiko Yamamoto, Hiromitsu Yamada

Erschienen in: Structured Document Image Analysis

Verlag: Springer Berlin Heidelberg

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

We describe a method for the recognition of hand-printed Chinese characters (Kanji) and Japanese cursive syllabary characters (Hiragana). The system preclassifies using cellular features and then classifies by a combination of feature extraction of line segments, an extreme-point method, and a relaxation matching method. Relaxation is a technique using contextual information to reduce local ambiguities: initial probabilities are assigned to matches between pairs of the line segments in the dictionary and the input, and then iteration finds acceptable combinations of the matches. The system was trained and tested on the ETL8 database; recognition results were 99% correct on the “good quality” data set, and 94.6% on the “poor quality” data set.

Metadaten
Titel
Recognition of Hand-Printed Chinese Characters and the Japanese Cursive Syllabary
verfasst von
Kazuhiko Yamamoto
Hiromitsu Yamada
Copyright-Jahr
1992
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-77281-8_12