Compressing the CNN architecture for in-air handwritten Chinese character recognition-Reference-Cited by-同舟云学术

Compressing the CNN architecture for in-air handwritten Chinese character recognition

Author:

Gan Ji^ORCID,Wang Weiqiang^ORCID,Lu Ke

Funder

National Key R&D Program of China

National Nature Science Foundation of China

NSFC

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. Airwriting: Hands-free mobile text input by spotting and continuous recognition of 3d-space handwriting with inertial sensors;Amma,2012

2. A study on the use of 8-directional features for online handwritten Chinese character recognition;Bai,2005

3. Beyond human recognition: A cnn-based framework for handwritten character recognition;Chen,2015

5. In-air handwritten english word recognition using attention recurrent translator;Gan;Neural Comput. Appl.,2017

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