C.X Zhu, “The Study of the Yi Language Ancient Document”. Nationalities Publishing House,2008.
 J Gao, J.Z Liu, “Problems and Countermeasures of the Digitalization of Ancient Books in Mainland China”.Journal of Library Science In China, vol. 2013, pp. 110-119, 2013.
 J,W Wang, Y.L Wen ,Y.Q Li ,Y.L Gao, “The Recognition System of Old-Yi Character Based on the Image Segmentation”. Journal of Yunnan Nationalities University: Natural Sciences Edition, vol. 17, pp. 76-79, 2008
 L.H Zhu, J.W Wang, “Off-Line Handwritten Yi Character Recognition Based on the Multi-Classifier Ensemble with Combination Features”. Journal of Yunnan Nationalities University: Natural Sciences Edition, vol. 19, pp. 329-333, 2010.
 Z.G Zhu, X.L Wu, “Principles and Implementation of an Off-Line Printed Yi Character Recognition System”. Computer Technology and Development, vol. 22, pp. 85-88, 2012.
 S Liu, Y.D Li, “Design and Realization on Character Segmentation Method for Yi Language”. Journal of South-Central University for Nationalities: Natural Sciences Edition,vol. 26, pp. 74-76, 2007.
 B Wu, Analysis of Yi Characters Based on Character Recognition. Journal of Southwest Minzu University (Humanities and Social Science), pp. 47-53, 2018.
 Yi collaboration group of Yunnan, Sichuan, Guizhou and Guangxi in China, “A Collection of Yi Characters in Yunnan and Sichuan”. Yunnan nationalities press,2004:251-273
 X. H. Ren, Y. Zhou, J. H. He, K. Chen, X. K. Yang, and J. Sun, "A Convolutional Neural Network-Based Chinese Text Detection Algorithm via Text Structure Modeling," IEEE Transactions on Multimedia, vol. 19, pp. 506-518, Mar 2017.
 M. A. H. Akhand, M. Ahmed, M. M. H. Rahman, M. M. Islam, "Convolutional Neural Network Training incorporating Rotation-Based Generated Patterns and Handwritten Numeral Recognition of Major Indian Scripts," IETE Journal of Research, vol. 64, pp. 176-194, 2018.
 A. Nasee, K. Zafar, "Comparative Analysis of Raw Images and Meta Feature based Urdu OCR using CNN and LSTM," International Journal of Advanced Computer Science and Applications, vol. 9, pp. 419-424, Jan 2018.
 V. A. Sindagi and V. M. Patel, "A survey of recent advances in CNN-based single image crowd counting and density estimation," Pattern Recognition Letters, vol. 107, pp. 3-16, May 1 2018.
 X. M. Deng, Y. D. Zhang, S. Yang, P. Tan, L. Chang, Y. Yuan, and H. A. Wang, "Joint Hand Detection and Rotation Estimation Using CNN," Ieee Transactions on Image Processing, vol. 27, pp. 1888-1900, Apr 2018.
 C. A and A. S, " Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities," Entropy, vol. 12, pp. 1532-1568, 2010.
 C. A, C. S, and A. S, "Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization," Entropy, vol. 13, pp. 134-170, 2011.
 W. W. Shi, Y. H. Gong, X. Y. Tao, and N. N. Zheng, "Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification," Ieee Transactions on Neural Networks and Learning Systems, vol. 29, pp. 2896-2908, Jul 2018.
 A. Sengupta, Y. Shim, K. Roy, "Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets," Ieee Transactions on Biomedical Circuits and Systems, vol. 10, pp. 1152-1160, Dec 2016.
 P. Knag, J. K. Kim, T. Chen, and Z. Y. Zhang, "A Sparse Coding Neural Network ASIC With On-Chip Learning for Feature Extraction and Encoding," Ieee Journal of Solid-State Circuits, vol. 50, pp. 1070-1079, Apr 2015.
 S. Qian, H. Liu, C. Liu, S. Wu, and H. S. Wong, "Adaptive activation functions in convolutional neural networks," Neurocomputing, vol. 272, pp. 204-212, Jan 10 2018.
 A. Arcos-Garcia, J. A. Alvarez-Garcia, and L. M. Soria-Morillo, "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods," Neural Networks, vol. 99, pp. 158-165, Mar 2018.
 K. Gopalakrishnan, S. K. Khaitan, A. Choudhary, and A. Agrawal, "Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection," Construction and Building Materials, vol. 157, pp. 322-330, Dec 30 2017.
 Research Institute of Yi Nationality Studies in Guizhou Province, “Southwest Yi Zhi”. The Nationalities Publishing House of Guizhou, 2015.