Computer Science ›› 2017, Vol. 44 ›› Issue (9): 300-303, 314.doi: 10.11896/j.issn.1002-137X.2017.09.056

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Text Localization Based on Edge Detection and Features Fusion in Natural Scene

WANG Meng-di, ZHANG You-mei and CHANG Fa-liang   

  • Online:2018-11-13 Published:2018-11-13

Abstract: As the basis and premise of text recognition,text localization has an important influence on the analysis of images.Since the text localization in natural scene can be effected by illumination and the complex backgrounds significantly,we proposed a text localization method based on edge detection and features fusion.The method began with edge detection from three channels and eight directions,and then we filtered the detected edge images with heuristic rules to extract candidate text regions.On top of that,the HOG-LBP features were extracted and fused by adaptive weights.Finally,we applied support vector machine (SVM) to classify the candidate regions and realized text localization.Experimental results indicate that the proposed method can locate the text region accurately in natural scene images while reducing the influence of illumination and complex backgrounds effectively.

Key words: Natural scene,Text localization,Edge detection,Feature fusion

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