Unsupervised Font Clustering Using Stochastic Versio of the EM Algorithm and Global Texture Analysis

Author:

Avilés-Cruz Carlos,Villegas Juan,Arechiga-Martínez René,Escarela-Perez Rafael

Publisher

Springer Berlin Heidelberg

Reference33 articles.

1. Nagy, G.: Twenty Years of Document Image Analysis in PAMI. IEEE Trans. Pattern Analysis and Machine Intelligence 22(1), 38–62 (2000)

2. Khoubyari, S., Hull, J.J.: Font and function word identification in Document Recognition. Computer Vision and Image Understanding 63(1), 66–74 (1996)

3. Cooperman, R.: Producing Good Font Attribute Determination Using Error-Prone Information. Int. Society for Optical Eng. J. 3027, 50–57 (1997)

4. Shi, H., Pavlidis, T.: Font Recognition and Contextual Processing for More Accurate Text Recognition. In: Proc. Fourth Int. Conference Document Analysis and Recognition (ICDAR 1997), August 1997, pp. 39–44 (1997)

5. Zramdini, A., Ingold, R.: Optical Font Recognition Using Typographical Features. IEEE Trans. Pattern Analysis and Machine Intelligence 20(8), 877–882 (1998)

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