Segmentation Method for NaXi Pictograph Character Recognition

NaXi pictograph, which is the only hieroglyph in use is important for researching into the evolution of the character. The research on the recognition of printed NaXi pictograph characters is now just beginning. The major problem with machine printed NaXi pictograph character segmentation is the shape of the letter depending on its location in the word. In this paper, a machine printed NaXi pictograph character segmentation algorithm, which is based on the windows backtracking histogram and some thresholds, is presented. To establish two sample databases of NaXi pictograph text images, and use three thresholds methods separately to make the binarization processing about images. After the testing, Ostu’s algorithm is more suitable for the binarization processing about NaXi pictograph images. For this sample database, we separately employ the projection algorithm and windows backtracking algorithm for segmentation, and the experimental results show that the windows backtracking algorithm in this paper is better than the projection algorithm.

[1]  Kazuhiko Yamamoto,et al.  Research on Machine Recognition of Handprinted Characters , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Bülent Sankur,et al.  Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.

[3]  Richard A. Harshman,et al.  Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..

[4]  B. Noble,et al.  On certain integrals of Lipschitz-Hankel type involving products of bessel functions , 1955, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[5]  Wang Hua.  Multi-font multi-size printed Uyghur character recognition , 2004 .

[6]  B. Kapralos,et al.  I An Introduction to Digital Image Processing , 2022 .

[7]  George Nagy,et al.  At the frontiers of OCR , 1992, Proc. IEEE.

[8]  Ching Y. Suen,et al.  Historical review of OCR research and development , 1992, Proc. IEEE.

[9]  Xu Jianfeng.  Web Embedding Fonts Technology of Naxi Pictographs , 2005 .

[10]  J. Mantas,et al.  An overview of character recognition methodologies , 1986, Pattern Recognit..

[11]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[12]  Sargur N. Srihari,et al.  On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Josef Kittler,et al.  Minimum error thresholding , 1986, Pattern Recognit..

[14]  Wang Weilan.  Study on Printed Tibetn Character Recognition , 2003 .

[15]  Li Zhen.  The Research of Printed Mongolian Character Recognition , 2003 .