A handwritten Bangla numeral recognition scheme based on expanded two-layer SOM. (14th March 2011)

• Record Type: Journal Article
• Authors: Lu, Shujing; Tu, Xiao; Lu, Yue
• Is Part Of: International journal of intelligent systems technologies and applications. Volume 10:Number 2(2011)
• Page Start: 203
• Page End: 213
• Publication Date: 2011-03-14
• Subjects: handwritten Bangla -- numeral recognition -- two-layer SOM -- self-organising maps -- confidence coefficients -- multiple classification -- character images -- number recognition; Artificial intelligence -- Periodicals; Intelligent control systems -- Periodicals; 006.3
• Languages: English
• ISSNs: 1740-8865

Abstract

This paper proposes a system for handwritten Bangla numeral recognition based on expanded two-layer self-organising map (SOM), in which every map in the second layer expands from a corresponding neuron in the first layer map. It carries out multiple classifications in the second layer for each character sample. The exact classification of the character image is obtained by a fusion algorithm using confidence coefficients. The discriminability of SOM is improved by this structure. With the directional and density features as the input vector, the experiments on handwritten Bangla numeral samples have achieved satisfactory recognition performance.