Title :
A Method for Text Detection and Rectification in Real-World Images
Author_Institution :
Grad. Sch. of Inf. Sci., Kyushu Sangyo Univ., Fukuoka, Japan
Abstract :
This paper presents a text detection method that combines with an image rectification. Since texts in natural scenes are not always observed in frontal view, image rectification is needed to robustly recognize them in OCR. A reference pixel that is part of the desirable text area is given by user since this is the easiest way to give the priors. In text detection, first, foreground pixels are extracted. Then, the text components and its structure are analyzed, constructing a graph with the text components. The image rectification is executed based on quadrangle estimation.
Keywords :
natural scenes; optical character recognition; text analysis; text detection; OCR; image rectification; natural scenes; quadrangle estimation; real-world images; text components; text detection; Data mining; Estimation; Feature extraction; Image color analysis; Image segmentation; Labeling; Training data; image rectification; mobile augmented reality; text detection in natural scenes;
Conference_Titel :
Information Visualisation (IV), 2014 18th International Conference on
Conference_Location :
Paris
