Self-directing Superimposed Text Detection and Removal from images using Inpainting for Region Filling with Smoothing
نویسندگان
چکیده
In this paper we have implemented an improved superimposed artificial text detection and inpainting method. Two stage frame works to remove unwanted text from images: Detection of text from image and removal of text using method of inpainting. Smoothing is used to bring more efficiency and reduction of noise and unwanted connected components at the first. With the use of feature extraction, stroke filtering and centroid processing text detection is performed. Holes generated in text detection stage are filled using exemplar based inpainting for regions with appropriate information present in same image. We tested the implementation using different images, and compared the results of smoothing with results of implementation without smoothing. Experimental results show, improved text detection rate due to use of smoothing before detection & improved Peak Signal to Noise Ratio and reduced Mean Squared Error for exemplar inpainting over nearest best matching in painting. Keywords—Text Detection, Text Localization, Inpainting, smoothing. __________________________________________________*****_________________________________________________
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