MOCR@ICDAR

Publications

2017

Dipankar Ganguly, Sumeet Agarwal, Santanu Chaudhury
Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. MOCR@ICDAR (2017)
V. S. Vinitha, Minesh Mathew, C. V. Jawahar
An Empirical Study of Effectiveness of Post-Processing in Indic Scripts. MOCR@ICDAR (2017)
Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel
KHATT: A Deep Learning Benchmark on Arabic Script. MOCR@ICDAR (2017)
Minesh Mathew, Mohit Jain, C. V. Jawahar
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam. MOCR@ICDAR (2017)
Nam Tuan Ly, Cuong Tuan Nguyen, Kha Cong Nguyen, Masaki Nakagawa
Deep Convolutional Recurrent Network for Segmentation-Free Offline Handwritten Japanese Text Recognition. MOCR@ICDAR (2017)
Wataru Ohyama, Seiya Iwata, Tetsushi Wakabayashi, Fumitaka Kimura
Detection and Recognition of Arabic Text in Video Frames. MOCR@ICDAR (2017)
6th International Workshop on Multilingual OCR, 14th IAPR International Conference on Document Analysis and Recognition, MOCR@ICDAR 2017, Kyoto, Japan, November 9-15, 2017 MOCR@ICDAR (2017)
Ekraam Sabir, Stephen Rawls, Prem Natarajan
Implicit Language Model in LSTM for OCR. MOCR@ICDAR (2017)
Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel
The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System. MOCR@ICDAR (2017)

2013