Ensemble Neural Network in Classifying Handwritten Arabic Numerals

Kathirvalavakumar Thangairulappan, Palaniappan Rathinasamy
2016 Journal of Intelligent Learning Systems and Applications  
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
more » ... ze the patterns by Divide and Conquer approach using proposed ensemble neural network. Experimental results show that the proposed method recognize the patterns accurately.
doi:10.4236/jilsa.2016.81001 fatcat:gnozcdsnfjg4zdxrmsnr6jztf4