High-order statistical texture analysis––font recognition applied

Author:

Avilés-Cruz Carlos,Rangel-Kuoppa Risto,Reyes-Ayala Mario,Andrade-Gonzalez A.,Escarela-Perez Rafael

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. Avilés-Cruz, C., 1997. Texture recognition by high order statistics: characterization and performance, PhD Thesis, Institute National Polytechnic of Grenoble L.T.I.R.F. Grenoble, France

2. Avilés-Cruz, C., 1998. Unsupervised texture segmentation using stochastic version of the EM algorithm and data fusion. In: Proceedings International Conference on Pattern Recognition ICPR 98, vol. 2, Brisbane-Australia, August 1998, pp. 1005–1009

3. Multichannel texture analysis using localized spatial filters;Bovik;IEEE Trans. Pattern Anal. Machine Intell.,1990

4. Producing good font attribute determination using error-prone information;Cooperman;Int. Soc. Opt. Eng. J.,1997

5. Markov random field texture models;Cross;IEEE Trans. Pattern Anal. Machine Intell., PAMI,1983

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