RECOGNITION OF IRREGULARLY SHAPED WORDS BY USING FRACTAL DIMENSION

Year 2018, , 186 - 195, 29.12.2018

Emre Erkan , Muhammet Ali Arserim , Mehmet Siraç Özerdem

https://doi.org/10.36222/ejt.459953

Abstract

Nowadays, optical character recognition
technology is not so advanced as to compete with human perception ability.
Parameters such as scene complexity, irregular lighting conditions, skewness,
blur and distortion, aspect ratios, perspective impairment, fonts, multilingual
environments negatively affect the success of the optical character recognition
technology. The aim of this article is to create an algorithm that can resolve
irregular words whose characters' scales and rotations are modified. In the
algorithm, fractal dimension tool, a fast and stable recognition method, is
used. From this viewpoint it is desired to make optical character recognition
technology closer to human perception. In order to analyze the algorithm,
fractal dimension and image compression data of big, and small alphabetic
characters in the tahoma font were recorded in the database. Then, using these
characters, irregular word images were obtained. These images, were analyzed by
the algorithm built in matlab program and the results were obtained.

Keywords

Fractal Dimension, Pattern Recognition, Optical Character

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