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Volume 32 Issue 5
May  2010
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Jiang Han, Liu Chang-song, Li Shi-yang, Zou Yan-ming. An On-line Handwritten Arithmetic Expression Recognition System[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1126-1130. doi: 10.3724/SP.J.1146.2009.00549
Citation: Jiang Han, Liu Chang-song, Li Shi-yang, Zou Yan-ming. An On-line Handwritten Arithmetic Expression Recognition System[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1126-1130. doi: 10.3724/SP.J.1146.2009.00549

An On-line Handwritten Arithmetic Expression Recognition System

doi: 10.3724/SP.J.1146.2009.00549
  • Received Date: 2009-04-13
  • Rev Recd Date: 2009-11-25
  • Publish Date: 2010-05-19
  • In this paper a complete on-line handwritten arithmetic expression recognition system is introduced. During the process of stroke grouping and symbol recognition, pre-processing strategy and searching procedure are combined to optimize the confidence function. A novel structural analysis algorithm based on symbol ranking is described, and recognition results are stored in trinary trees as the data structure. Experiments show that relatively neatly written expressions with fairly complex structures can be analysed by this algorithm with a high correction rate.
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  • Chan K F and Yeung D Y. Mathematical expression recognition: A survey [J]. International Journal on Document Analysis and Recognition, 2000. 3(1): 3-15.[2]Zabinni R and Blostein D. Recognizing mathematical expressions using tree transformation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence.2002, 24(11):1455-1467[3]Tapia E and Rojas R. Recognition of On-line Handwritten Mathematical Expressions Using a Minimum Spanning Tree Construction and Symbol Dominance[M]. Graphic Recognition. Berlin, Germany: Springer, 2004: 329-340.[4]Vuong B Q, Hui S C, and He Y. Progressive structural analysis for dynamic recognition of on-line handwritten mathematical expressions[J].IEEE Pattern Recognition Letters.2008, 29(5):647-655[5]Rhee T H and Kim J H. Efficient search strategy in structural analysis for handwritten mathematical expression recognition. [C]. 11th International Conference on Frontiers in Handwriting Recognition, 2008: 19-24.[6]虞瑾, 丁晓青. 联机手写公式中字符的切分与识别[J]. 电视技术, 2007, 1: 148-150.[7]Shi Y, Li H, and Soong F K. A unified framework for symbol segmentation and recognition of handwritten mathematical expressions[C]. International Conference on Document Analysis and Recognition. 2007, 2: 854-858.[8]Luo Z X, Shi Y, and Soong F K. Symbol graph based discriminative training and rescoring for improved math symbol recognition[C]. International Conference on Acoustics, Speech, and Signal Processing, 2008: 953-956.
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