王维兰,卢小宝,蔡正琦,沈文韬,付吉,才科扎西. 基于部件组合的联机手写“藏文—梵文”样本生成[J]. 中文信息学报, 2017, 31(5): 64-73.
WANG Weilan, LU Xiaobao, CAI Zhengqi, SHEN Wentao, FU Ji, CAIKE Zhaxi. Online Handwritten Sample Generated Based on Component Combination for Tibetan-Sanskrit. , 2017, 31(5): 64-73.
Online Handwritten Sample Generated Based on Component Combination for Tibetan-Sanskrit
WANG Weilan1, LU Xiaobao2, CAI Zhengqi1, SHEN Wentao1, FU Ji1, CAIKE Zhaxi1
1.Department of Math and Computer Science, Northwest University for Nationalities, Lanzhou, Gansu 730030, China; 2.Baiyin Center Subbranch, People's Bank of China, Baiyin, Gansu 730900, China
Abstract：Tibetan-Sanskrit includes more than 500 Tibetan characters, and more than 6000 Sanskrit. Belonging to the large class of character set, the sample collection of the online handwritten is a large and complex project. We present an online handwriting character sample generation method based on component combination for Tibetan-Sanskrit. The proposed method includes four main parts: (1) to determine the Tibetan-Sanskrit character set and component set; (2) to get location information of Tibetan-Sanskrit characters; (3) to collect online handwritten sample of component set for Tibetan-Sanskrit; and (4) to generate sample database of online handwritten Tibetan-Sanskrit character set. This provides the character's training sample set and test sample set for online handwritten Tibetan-Sanskrit.
[1] ISO/IEC 10646-1:Tibetan Character Collection[S]. ISO/IEC JTC1/SC2/WG2, 2000. [2] 国家质量技术监督局. GB 22323—2008 信息技术藏文编码字符集(基本集及扩充集A)[S]. 北京:中国标准出版社, 2008. [3] 国家质量技术监督局. GB/T 25913—2010 信息技术 藏文编码字符集(扩充集B)[S]. 北京:中国标准出版社, 2010. [4] 王维兰, 丁晓青, 祁坤钰. 藏文识别中相似字丁的区分研究[J]. 中文信息学报, 2002, 16(4):60-65. [5] 王华, 丁晓青. 多字体印刷藏文字符识别[J]. 中文信息学报, 2003, 17(6):47-52. [6] 丁晓青, 王华, 刘长松, 等. 多字体多字号印刷体藏文字符识别方法[D]. ZL200410034107. 4, 2004. [7] 热依曼·吐尔逊, 吾守尔·斯拉木. 一种维吾尔语联机手写识别系统[J]. 中文信息学报, 2014, 28(3):112-115. [8] 刘卫, 李和成. 基于多模板归一化的维吾尔文字母识别算法[J]. 中文信息学报, 2016, 30(1):156-161. [9] Huang Heming, Da Feipeng, Hang Xiaoxu. Wavelet transform and gradient direction based feature extraction method for off-line handwritten Tibetan letter recognition[J]. Journal of Southeast University, 2014(1):27-31. [10] 王维兰, 钱建军, 多杰卓玛, 等. 一种联机手写藏文字符的识别方法[P]. 中华人民共和国国家知识版权局. ZL200910128595. 8, 2011. [11] Ma L L, Wu J. Semi-automatic Tibetan component annotation from online handwritten Tibetan character database by optimizing segmentation hypotheses[C]//Proceedings of the International Conference on Document Analysis & Recognition, 2013:1340-1344. [12] Ma L L, Wu J. A Tibetan component representation learning method for online handwritten Tibetan character recognition[C]//Proceedings of the International Conference on Frontiers in Handwriting Recognition, 2014:317-322. [13] Ma L L, Wu J. Online handwritten Tibetan syllable recognition based on component segmentation method[C]//Proceedings of the International Conference on Document Analysis & Recognition, 2015:46-50. [14] Wang Dahan, Liu Chenglin, Yu Jinlun, et al. CASIA-OLHWDB1:A database of online handwritten Chinese characters[C]//Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009:1206-1210. [15] Jin L, Gao Y, Liu G, et al. SCUT-COUCH2009-A comprehensive online unconstrained Chinese handwriting database and benchmark evaluation[J]. International Journal on Document Analysis and Recognition, 2011, 14(1):53-64.
2017, Vol. 31 
