Prototyping of character pattern retrieval system for digital archives of historical documents

2013年度～2017年度科学研究費補助金基盤研究(S) 研究成果報告書（課題番号25220401

Character Shape Restoration of Binarized Historica l Documents by Smoothing via Geodesic Morphology

2013年度～2017年度科学研究費補助金基盤研究(S) 研究成果報告書（課題番号25220401

Activating Impacts on Digital Archives of Historical Documents by Information Search with Character Pattern Image Keys

2013年度～2017年度科学研究費補助金基盤研究(S) 研究成果報告書（課題番号25220401

A prototyping of crossover character pattern retrieval service for digital historical document archives

2013年度～2017年度科学研究費補助金基盤研究(S) 研究成果報告書（課題番号25220401

Modeling of Pen-Coordinate Information in SCPR-based HMM for On-line Recognition of Handwritten Japanese Characters

This paper describes stochastic modeling of pencoordinate information in HMMs with structured character pattern representation (SCPR) for on-line recognition of handwritten Japanese characters. SCPR allows HMMs for Kanji character patterns to share common subpatterns. Although SCPR-based HMMs have been successfully applied to Kanji character recognition, the pen-coordinate feature has not been modeled since it is an unique feature for each character pattern. In this paper, we employ mapping from a common subpattern to each occurrence in Kanji patterns in the estimation step of SCPR-based HMMs. We also employ adaptation of state parameters to each character pattern in generating character HMMs by composing SCPR-based HMMs. Experimental results showed that the correct recognition rate improved from 83.6 % to 92.3 % for Japanese Kanji character patterns by modeling the pen-coordinate information in the SCPRbased HMMs. Keywords: On-line handwriting recognition, Structured character pattern representation, HMM, Pen-coordinate feature 1

002 Ⅰ本編 木簡など出土文字資料の資源化のための機能的情報集約と知の結集

2013年度～2017年度科学研究費補助金基盤研究(S) 研究成果報告書（課題番号25220401