Handwritten Chinese Character Recognition Based on Attention Mechanism

Wanrong Huang; Kai He; Kun Liu; Shengnan Gao

doi:10.3788/LOP57.081002

[1] Maidana R G, dos Santos J M, Granada R L et al. Deep neural networks for handwritten Chinese character recognition. [C]∥2017 Brazilian Conference on Intelligent Systems (BRACIS), October 2-5, 2017, Uberlandia, Brazil. New York: IEEE, 192-197(2017).

[2] Wu Y C, Yin F, Liu C L. Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models[J]. Pattern Recognition, 65, 251-264(2017).

[3] Yin F, Wang Q F, Zhang X Y et al. ICDAR 2013 Chinese handwriting recognition competition. [C]∥2013 12th International Conference on Document Analysis and Recognition, August 25-28, 2013, Washington, DC, USA. New York: IEEE, 1464-1470(2013).

[4] Leng W Y, Shamsuddin S M. Writer identification for Chinese handwriting[J]. International Journal of Advances in Soft Computing & Its Applications, 2, 142-173(2010).

[5] Chen P F. Research on offline handwritten Chinese character recognition based on deep learning[D]. Jiangmen: Wuyi University(2018).

[6] Plamondon R, Srihari S N. Online and off-line handwriting recognition: a comprehensive survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 63-84(2000).

[7] LeCun Y, Jackel L D, Bottou L et al. Learning algorithms for classification: A comparison on handwritten digit recognition[J]. Neural Networks: The Statistical Mechanics Perspective, 261-276(1995).

[8] Sun H W. Research on handwritten English letter recognition algorithm based on deep learning Xi'an:[D]. Xidian University(2018).

[9] Fang D B, Feng G, Cao H Y et al. Handwritten formula symbol recognition based on multi-feature convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 072001(2019).

[10] Wu C P, Fan W, He Y et al. Handwritten character recognition by alternately trained relaxation convolutional neural network. [C]∥2014 14th International Conference on Frontiers in Handwriting Recognition. Crete, Greece: IEEE, 291-296(2014).

[11] Jin L W, Zhong Z Y, Yang Z et al. Applications of deep learning for handwritten Chinese character recognition: a review[J]. Acta Automatica Sinica, 42, 1125-1141(2016).

[12] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need. [C]∥Advances in Neural Information Processing Systems, December 4-9, 2017, Long Beach, CA, USA. Canada: NIPS, 5998-6008(2017).

[13] Wang M, Fan T F, Yun W G et al. PFWG improved CNN multispectra remote sensing image classification[J]. Laser & Optoelectronics Progress, 56, 031003(2019).

[14] Wang H X, Zhou J Q, Gu C H et al. Design of activation function in CNN for image classification[J]. Journal of Zhejiang University(Engineering Science), 53, 1363-1373(2019).

[15] Zubair S, Yan F, Wang W W. Dictionary learning based sparse coefficients for audio classification with max and average pooling[J]. Digital Signal Processing, 23, 960-970(2013).

[16] Hang S T, Aono M. Bi-linearly weighted fractional max pooling[J]. Multimedia Tools and Applications, 76, 22095-22117(2017).

[17] Zhu M K, Lu X L. Human action recognition algorithm based on Bi-LSTM-Attention model[J]. Laser & Optoelectronics Progress, 56, 151503(2019).

[18] Liu C L, Yin F, Wang D H et al. CASIA online and offline Chinese handwriting databases. [C]∥2011 International Conference on Document Analysis and Recognition, September 18-21, 2011, Beijing, China. New York: IEEE, 37-41(2011).

[19] Wang L L, Yu Y[J]. Text image character segmentation method based on bidirectional projection Digital Technology and Application, 2017, 74-75.

[20] Wang Y W, Li X, Liu C S et al. An MQDF-CNN hybrid model for offline handwritten Chinese character recognition. [C]∥2014 14th International Conference on Frontiers in Handwriting Recognition, September 1-4, 2014, Heraklion, Greece. New York: IEEE, 246-249(2014).

[21] Liu C L, Yin F, Wang D H et al. Chinese handwriting recognition contest 2010. [C]∥2010 Chinese Conference on Pattern Recognition (CCPR), October 21-23, 2010, Chongqing, China. New York: IEEE, 11694086(2010).

[22] Liu C L, Yin F, Wang Q F et al. ICDAR 2011 Chinese handwriting recognition competition. [C]∥2011 International Conference on Document Analysis and Recognition, September 18-21, 2011, Beijing, China. New York: IEEE, 1464-1469(2011).