A System for Joining and Recognition of Broken Bangla Numerals for Indian Postal Automation

In this paper, we present a system towards recognition of Bangla pincode numerals for Indian postal automation. In the proposed system, at first, using structural features the broken numerals are joined. Next combining Neural Network (NN) and tree classifier based approach the numerals are recognized. Considering similar shaped numerals at first, NN classifies the 10 numerals into six groups. Next tree classifier is used for final recognition. The features used for the NN based recognition are the number and position of end points, junction points, position of the centre of gravity, and distance between the centre of the bounding box and the centre of gravity etc of a numeral. Different features used for tree classifier are based on water reservoir concept, structural features, and topological features. Overall accuracy of the proposed system is at present 94.21%.