Open access
Aug 2026
AN END-TO-END CRNN AND CTC APPROACH FOR OFFLINE HANDWRITTEN CHINESE TEXT RECOGNITION
Experiments demonstrate that the proposed approach achieves a Character Error Rate (CER) of 16,85%, corresponding to an accuracy of 83,15%, confirming the effectiveness of the CNN–BiLSTM–CTC framework for offline handwritten Chinese text recognition.
Stefanus Eko Prasetyo, Jeffrey, Haeruddin
· Jurnal Sistem Informasi dan... · 0 citations