HANDWRITTING CHARACTER RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS

Nguyen Quang Hoan; Pham Ngoc Hung; Nguyen Dinh Tai

Nguyen Quang Hoan Hung Yen University of Technology and Education
Pham Ngoc Hung Hung Yen University of Technology and Education
Nguyen Dinh Tai Posts and Telecommunications Institute of Technology

Abstract

The article detects and recognizes the images of Latin handwriting characters using convolutional neural networks (CNN) and image processing algorithms. The contribution of the paper is proposing a method for handwriting character recognition using convolutional neural networks. Data for input to the system are collected from the character databases and handwritten form of the National Institute of Standards and Technology (NIST). The research model gives results of identification with high accuracy.

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