Impact of a codebook filtering step on a galois lattice structure for graphics recognition

Ameni Boumaiza*, Salvatore Tabbone

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper, we propose an evaluation of the impact of a codebook filtering step on the recognition rate of a Galois lattice classifier. Unlike the usual approach which only considers a whole visual dictionary and is likely to over-fitting, we boost the Galois lattice using a filtered dictionary by assigning a probability of appearance to each visual word in a symbol model. The retrieval performance and behavior of the method have been compared to state-of-the art and proved that is suitable to the recognition process. Experimental results show that the Galois Lattice classifier combined with a filtered codebook outperforms classic classifiers. Interestingly, due to the high selection of features from the dictionary, the accuracy improvement is obtained with a considerable computational cost reduction.

Original languageEnglish
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages278-281
Number of pages4
Publication statusPublished - 2012
Externally publishedYes
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: 11 Nov 201215 Nov 2012

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference21st International Conference on Pattern Recognition, ICPR 2012
Country/TerritoryJapan
CityTsukuba
Period11/11/1215/11/12

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