Abstract
Density analysis plays an important role in font design and recognition. This paper presents a method of density analysis for Chinese characters. A number of density metrics are adopted to describe the density degree of a character from both local and global perspectives, including center-to-center distance of connected components, gap between connected components, ratio of perimeter and area, connected components area ratio, and area ratio of holes. The experiment results demonstrate that the proposed method is effective in measuring the density of Chinese characters.
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References
Schomaker, L., de Leau, E., Vuurpijl, L.: Using Pen-Based Outlines for Object-Based Annotation and Image-Based Queries. In: Huijsmans, D.P., Smeulders, A.W.M. (eds.) VISUAL 1999. LNCS, vol. 1614, pp. 585–592. Springer, Heidelberg (1999)
Song, J.-G., Lu, X.-Q., et al.: Envelope Extraction for Composite Shapes for Shape Retrieval. In: Proceedings of the Internationnal Conference on Pattern Recognition, Tsukuba Science City, Japan, pp. 1932–1935 (2012)
Bribiesca, E.: An Easy Measure of Compactness for 2D and 3D Shapes. Pattern Recognition 41, 543–554 (2008)
Soffer, A., Samet, H.: Negative Shape Features for Image Databases Consisting of Geographic Symbols. In: 3rd International Workshop on Visual Form Capri (1997)
Rosenfeld, A., Pfaltz, J.L.: Distance Functions on Digital Pictures. Pattern Recognition 1(1), 33–61 (1968)
Haralick, R.M.: A Measure for Circularity of Digital Figures. IEEE Trans. Syst. Man Cybernet 4(4), 394–396 (1997)
Hu, R.-X.: A Perceptually Motivated Morphological Strategy for Shape Retrieval. In: Huang, D.-S., Gan, Y., Gupta, P., Gromiha, M.M. (eds.) ICIC 2011. LNCS, vol. 6839, pp. 105–111. Springer, Heidelberg (2012)
Liu, L., Lu, Y., et al.: Near-duplicate Document Image Matching: a Graphical Perspective. Pattern Recognition (2013)
Bai, X., Yang, X.W., et al.: Learning Context-sensitive Shape Similarity by Graph Transduction. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(5) (2010)
Liu, H., Feng, S.Q., Zha, H.B., et al.: Document Image Retrieval Based on Density Distribution Feature and Key Block Feature. In: Proceedings of International Conference on Document Analysis and Recognition, pp. 1040–1044 (2005)
Liu, H.M., Wang, Z.H.: PLDD: Point-lines Distance Distribution for Detection of Arbitrary Triangles, Regular Polygons and Circles. J. Vis. Commun. Image R (2013)
Belongie, S., Malik, J., Puzicha, J.: Shape Matching and Object Recognition Using Shape Context. IEEE Transactions Pattern Analysis and Machine Intelligence 24(4), 509–522 (2002)
Ling, H.B., Jacobs, D.W.: Shape Classification Using the Inner-distance. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(2), 286–299 (2007)
Guru, D.S., Nagendraswamy, H.S.: Symbolic Representation of Two-dimensional Shapes. Pattern Recognition 28, 144–155 (2007)
Siddiqi, K., Shokoufandeh, A., Dickinson, S.J., Zucker, S.W.: Shock Graphs and Shape Matching. International Journal of Computer Vision 35(1), 13–32 (1999)
Sebastian, T.B., Klein, P.N., Kimia, B.B.: Recognition of Shapes by Editing Shock Graphs. In: IEEE International Conference on Computer Vision, pp. 755–762 (2001)
Shi, C., Xiao, J., Jia, W., Xu, C.: Automatic generation of chinese character based on human vision and prior knowledge of calligraphy. In: Zhou, M., Zhou, G., Zhao, D., Liu, Q., Zou, L., et al. (eds.) NLPCC 2012. CCIS, vol. 333, pp. 23–33. Springer, Heidelberg (2012)
Marr, D., Vision, A.: A Computational Investigation into the Human Representation and Processing of Visual Information. Freeman and Company, WH San Francisco (1982)
Lai, P.K., Pong, M.C., Yeung, D.Y.: Chinese Glyph Generation Using Character Composition and Beauty Evaluation Metrics. In: International Conference on Computer Processing of Oriental Languages (ICCPOL), Honolulu, Hawaii, pp. 92–99 (1995)
Yu, K., Wu, J., Zhuang, Y.: Skeleton-based Recognition of Chinese Calligraphic Character Image. In: Huang, Y.-M.R., Xu, C., Cheng, K.-S., Yang, J.-F.K., Swamy, M.N.S., Li, S., Ding, J.-W. (eds.) PCM 2008. LNCS, vol. 5353, pp. 228–237. Springer, Heidelberg (2008)
Bribiesca, E.: Measuring 2-D Shape Compactness Using the Contact Perimeter. Computers & Mathematics with Applications 33(11), 1–9 (1997)
Bribiesca, E.: A Measure of Compactness for 3D Shapes. Computers & Mathematics with Applications 40(10), 1275–1284 (2000)
Bogaert, J., Rousseau, R., Van Hecke, P., et al.: Alternative Area-perimeter Ratios for Measurement of 2D Shape Compactness of Habitats. Applied Mathematics and Computation 111(1), 71–85 (2000)
Del Bimbo, A., Pala, P.: Image Indexing Using Shape-based Visual Features. In: Proceedings of the 13th International Conference on Pattern Recognition, vol. 3, pp. 351–355. IEEE (1996)
Herrmann, P., Schlageter, G.: Retrieval of Document Images Using Layout Knowledge. In: Proceedings of the Second International Conference on Document Analysis and Recognition, pp. 537–540. IEEE (1993)
Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image Processing Using Matlab. Princeton Hall Pearson Education Inc., New Jersey (2004)
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Qu, J., Lu, X., Liu, L., Tang, Z., Wang, Y. (2014). A Method of Density Analysis for Chinese Characters. In: Zong, C., Nie, JY., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2014. Communications in Computer and Information Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45924-9_6
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DOI: https://doi.org/10.1007/978-3-662-45924-9_6
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