@article{oai:nagasaki-u.repo.nii.ac.jp:00025774,
 author = {胡, 彦 and 松山, 繁史 and 松田, 和生 and 中村, 千秋 and 宮原, 末治},
 issue = {59},
 journal = {長崎大学工学部研究報告, Reports of the Faculty of Engineering, Nagasaki University},
 month = {Jul},
 note = {A restoration method is presented for low-resolution printed kanji character recognition. First, character images are converted into binary character patterns after expanding and blurring. Next, the binary character patterns are modified by the system using ridge point and ravine one. The feature vectors of the modified character patterns which include the information of spatial structure are extracted by phrase feature distribution method and they are fed in an classifier. It is verified by experiments using the database ETL2 that proposed method improved recognition accuracy from 89.1% to 99.4%., 長崎大学工学部研究報告 Vol.32(59) p.79-84, 2002},
 pages = {79--84},
 title = {文字画像の修復による低解像度印刷漢字の認識},
 volume = {32},
 year = {2002}
}