期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：9
页码：139-146
出版社：SERSC
摘要：Natural scene images are more susceptible to skew deformation as compared to document text which makes skewcorrection an indispensable step in scene text extraction. This work evaluates Murthy’s Devanagari scene word slant correction method [Signal, Image and Video Processing, 7(6), 2012] on Gurmukhi scene images. The method makes use of headline feature of Devanagari which also exist in Gurmukhi script. The headline of Gurmukhi wordis found by perceiving farthest located salient points as its end-points and skew angle of headline is calculatedfrom its slope. Gurmukhi word image is de-skewed using skew angle of identified headline. The method has been tested on 100 self-captured good quality Gurmukhi and 117 publically available Devanagari scene wordswith average accuracy of 62.8% and 72.2% respectively. The method has been found to be working well on few samples of defective scene words, provided actual end-points of headline are preserved. It has been observed thatMurthy’s method is very simple to implement, does not require any pre-processing and give good results in wide variety of practical situations.However, this method does not work wellfor single character words with vowel above headline and words withidentified headline parallel to horizontal axis.
关键词：Scene text extraction; skew correction; Gurmukhi; Devanagari
