An improved two-layer SOM classifier for handwritten numeral recognition

Shujing Lu*, Xiao Tu, Yue Lu

*Corresponding author for this work

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

4 Scopus citations

Abstract

In the past several years, we've been developing a high performance two-layer SOM classifier for handwritten Bangla numeral recognition. We have reported previously the structure and the learning algorithm of the two-layer SOM. In this paper, we fuse the outputs of the second layer SOMs to improve the classification ability, based on confidence coefficient of the SOMs in the second layer. Experimental results on the numeral images obtained from real Bangladesh envelopes have proved the validity of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
Pages367-371
Number of pages5
DOIs
StatePublished - 2008
Event2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008 - Sydney, NSW, Australia
Duration: 8 Jul 200811 Jul 2008

Publication series

NameProceedings - 2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008

Conference

Conference2008 IEEE 8th International Conference on Computer and Information Technology, CIT 2008
Country/TerritoryAustralia
CitySydney, NSW
Period8/07/0811/07/08

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