Abstract

The objective of this study is to project a new methodology for text separation in an image. Gamma Correction Method is applied as a preprocess technique to suppress non text regions and retain text regions. Text Segmentation is achieved by applying Positional Connected Component Labeling, Text Region Extraction, Text Line Separation, Separation of Touching Text and Separation of Text Components algorithms. At last, the details of each word’s and the line’s starting text component position are stored in a text file. Experiments are conducted on various images from the datasets collected and tagged by the ICDAR Robust Reading Dataset Collection Team. It is observed that the proposed method has an average recall rate of 97.5% on separation of text components in an image.

Keywords:

Connected components, gamma correction method, segmentation, text extraction, text line, text separation , thinning,

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Competing interests

The authors have no competing interests.

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