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http://dx.doi.org/10.5762/KAIS.2010.11.3.847

Mobile Phone Camera Based Scene Text Detection Using Edge and Color Quantization  

Park, Jong-Cheon (Division of Computer Engineering, Chungbuk National University)
Lee, Keun-Wang (Dept. of the Multimedia Science, Chungwoon University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.11, no.3, 2010 , pp. 847-852 More about this Journal
Abstract
Text in natural images has a various and important feature of image. Therefore, to detect text and extraction of text, recognizing it is a studied as an important research area. Lately, many applications of various fields is being developed based on mobile phone camera technology. Detecting edge component form gray-scale image and detect an boundary of text regions by local standard deviation and get an connected components using Euclidean distance of RGB color space. Labeling the detected edges and connected component and get bounding boxes each regions. Candidate of text achieved with heuristic rule of text. Detected candidate text regions was merged for generation for one candidate text region, then text region detected with verifying candidate text region using ectilarity characterization of adjacency and ectilarity between candidate text regions. Experctental results, We improved text region detection rate using completentary of edge and color connected component.
Keywords
Canny-Edge; Euclidean Distance; Standard Deviation; Text Detection;
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