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Fuzzy based edge enhanced text detection algorithm using MSER

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Abstract

A creative system has been made with Maximally Stable Extremal Regions (MSER) for distinguishing apart the text from pictures. By using the basic MSER to images with lower resolution, the small sized text may not be detected. To deal with blurred images we put forward an approach that combines the fuzzy based edge detection method with MSER. The edge is detected using fuzzy inference system. Horizontal and vertical projection profiles along with geometric qualities of the text content are then connected to separate content and non-content locales of the text. Text grouping is then done by constructing the minimum spanning tree using bounding box distance. The proposed system is experimented on ICDAR 2003 dataset that shows potential outcomes on text detection.

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Authors and Affiliations

  1. Department of CSE, RMK Engineering College, Chennai, Tamil Nadu, India

    A. Thilagavathy

  2. Department of EIE, RMD Engineering College, Chennai, Tamil Nadu, India

    A. Chilambuchelvan

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  1. A. Thilagavathy
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  2. A. Chilambuchelvan
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Correspondence to A. Thilagavathy.

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Thilagavathy, A., Chilambuchelvan, A. Fuzzy based edge enhanced text detection algorithm using MSER. Cluster Comput 22 (Suppl 5), 11681–11687 (2019). https://doi.org/10.1007/s10586-017-1448-5

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  • DOI: https://doi.org/10.1007/s10586-017-1448-5

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