Applications of geostatistics and Markov models for logo recognition

Tuan Pham

doi:10.1117/12.472840

13 January 2003 Applications of geostatistics and Markov models for logo recognition

Tuan Pham

Proceedings Volume 5010, Document Recognition and Retrieval X; (2003) https://doi.org/10.1117/12.472840
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

Spatial covariances based on geostatistics are extracted as representative features of logo or trademark images. These spatial covariances are different from other statistical features for image analysis in that the structural information of an image is independent of the pixel locations and represented in terms of spatial series. We then design a classifier in the sense of hidden Markov models to make use of these geostatistical sequential data to recognize the logos. High recognition rates are obtained from testing the method against a public-domain logo database.

Citation Download Citation

Tuan Pham "Applications of geostatistics and Markov models for logo recognition", Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); https://doi.org/10.1117/12.472840

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