期刊名称：Journal of Intelligent Learning Systems and Applications
印刷版ISSN：2150-8402
电子版ISSN：2150-8410
出版年度：2016
卷号：08
期号：01
页码：1-8
DOI：10.4236/jilsa.2016.81001
语种：English
出版社：Scientific Research Publishing
摘要：A method has been proposed to classify handwritten Arabic numerals in its compressed form using partitioning approach, Leader algorithm and Neural network. Handwritten numerals are represented in a matrix form. Compressing the matrix representation by merging adjacent pair of rows using logical OR operation reduces its size in half. Considering each row as a partitioned portion, clusters are formed for same partition of same digit separately. Leaders of clusters of partitions are used to recognize the patterns by Divide and Conquer approach using proposed ensemble neural network. Experimental results show that the proposed method recognize the patterns accurately.
关键词：Handwritten Numerals;Divide and Conquer;Cluster;Leader Algorithm;Neural Network;Ensemble;Classification
