Handwriting recognition

Pattern recognition (psychology)

Intelligent word recognition

Pure mathematics

Mathematics

Image (mathematics)

Philosophy

Artificial intelligence

Bengali

Numeral system

Natural language processing

Geometry

Character (mathematics)

Computer science

Linguistics

Intelligent character recognition

Feature extraction

Speech recognition

Field (mathematics)

Character recognition

Arabic

Handwritten character recognition, an active research field of Artificial Intelligence and Pattern Recognition, has gained enormous attention in recent years. However, much of the works were concentrated on recognition of few economically important languages; limited attention had been paid for character recognition of Bengali, the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> ranked language of the world. In this paper, we propose a new methodology to recognize handwritten Bengali numerals using a recently established metaheuristic algorithm known as Chemical Reaction Optimization (CRO) in order to increase the recognition accuracy. The proposed method produces a higher accuracy rate, 98.96% which is higher than the outcome of any other proposed method. Unquestionably, the result shows that our proposed technique outperforms all previously developed methodologies.

Handwritten Bangla Digit Recognition Using Chemical Reaction Optimization