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6th MOCR@ICDAR 2017: Kyoto, Japan

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6th International Workshop on Multilingual OCR, 14th IAPR International Conference on Document Analysis and Recognition, MOCR@ICDAR 2017, Kyoto, Japan, November 9-15, 2017. IEEE 2017

MOCR Session 1

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Nam Tuan Ly, Cuong Tuan Nguyen, Kha Cong Nguyen, Masaki Nakagawa:
Deep Convolutional Recurrent Network for Segmentation-Free Offline Handwritten Japanese Text Recognition. 5-9
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Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
KHATT: A Deep Learning Benchmark on Arabic Script. 10-14
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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. 15-19
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Wataru Ohyama, Seiya Iwata, Tetsushi Wakabayashi, Fumitaka Kimura:
Detection and Recognition of Arabic Text in Video Frames. 20-24

MOCR Session 2

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Ekraam Sabir, Stephen Rawls, Prem Natarajan:
Implicit Language Model in LSTM for OCR. 27-31
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V. S. Vinitha, Minesh Mathew, C. V. Jawahar:
An Empirical Study of Effectiveness of Post-Processing in Indic Scripts. 32-36
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Dipankar Ganguly, Sumeet Agarwal, Santanu Chaudhury:
Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. 37-41
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Minesh Mathew, Mohit Jain, C. V. Jawahar:
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam. 42-46

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