Abstract
AbstractText detection in Scene images has procured significance in recent decade. Due to its diversified applications in blind navigation assistance for Visually impaired, traffic monitoring, Automatic driving assistance systems etc., Text detection has stimulated new research avenues in area of computer vision Text detection is a trivial task because of varying color, font face and size, orientation of text against complex background. A diversity of deep learning techniques are introduced by researchers for graphical text detection in images. The article proposed method consisting of 3 stages. First, we use Otsu’s method for text separation from background. Secondly Text ROI’s are extracted using Maximally stable Ensemble method (MSER). Finally, each extracted text ROI is classified using ConvNets. CNN classifier have been trained to recognize Scene Text Characters.KeywordsText detectionClassificationMSERCNN
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