MULTI-AGENT BASED RECOGNITION SYSTEM OF PRINTED MONGOLIAN CHARACTERS

Author:

GAO GUANG-LAI1,LI WEI1,HOU HONG-XU1,LI ZHEN-HONG1

Affiliation:

1. College of Computer Science, Inner Mongolia University, Hohhot, 010021, PRC, China

Publisher

WORLD SCIENTIFIC

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Task Learning Based Traditional Mongolian Words Recognition;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10

2. Segmentation-Free Printed Traditional Mongolian OCR Using Sequence to Sequence with Attention Model;2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR);2017-11

3. Online Handwritten Mongolian Word Recognition Using a Novel Sliding Window Method with Recurrent Neural Networks;2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR);2017-11

4. DNN-HMM for Large Vocabulary Mongolian Offline Handwriting Recognition;INT CONF FRONT HAND;2016

5. The First Robust Mongolian Text Reading Dataset CSIMU-MTR;Lecture Notes in Electrical Engineering;2015

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