An evaluation of a method to detect and correct erroneous characters in Japanese input through an OCR using Markov models
Tetsuo Araki, Satoru Ikehara, Nobuyuki Tsukahara, Yasunori Komatsu · 1994
The "Selective Error Correction Method" to judge these three types of errors, and correct them, using m-th order Markov chain model for Japanese 'kanji-kana' characters, has been proposed and shown to be useful to detect and correct errors generated randomly (Araki et al., 1994).In this paper, this method is applied to detect and correct erroneous characters in Japanese text input through an OCR. The method is confirmed to be also effective to detect and correct the errors introduced by the OCR.