Author(s) : Jiji Mol, Anisha Mohammed, Nikhil G Kurup

Volume & Issue : VOLUME 2 / 2017 , ISSUE 1

Page(s) : 114-119


Imagery is used as an effective tool in visual design. Actually it originated well before the development of web design. Text overlaid on images provides us a more emotionally engaging and contextually rich experience. But detection of scene-text is much more challenging due to complex background, fonts and styles. A novel system for detecting text in images is proposed in this paper. The proposed method uses Fractional Poisson Enhancement for removing Laplacian noise of the input image. The pre-processed image is operated by a threshold to obtain a binary gradient mask. The subsequent steps include morphological operations, identification of text-region using bounding boxes and finally detection of text characters. Fmeasure is used for comparative analysis of the proposed method for different datasets.


Laplacian noise, Morphological operations, Poisson Enhancement, Text-region


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