DocumentCode
263935
Title
Reading skewed images without image rotation
Author
Al-Khawand, Wassim ; Kadry, Sara ; Bozzo, Riccardo ; Smaili, Kamel
Author_Institution
Sch. of Eng. Sci. & Technol., Univ. of Genoa, Genoa, Italy
fYear
2014
fDate
17-19 Jan. 2014
Firstpage
1
Lastpage
6
Abstract
In this paper, we will present a new approach for extracting characters from skewed images without image rotation. Our approach is capable of handling any font and size of characters. The proposed method consists of sorting the segmented characters according to the X axis, then assigning a Program Line Number to each character based on the skew angle and finally sorting the Program Line Numbers according to their intersection with the Y axis. The average processing time of our proposed method of characters extraction is around 0.11 milliseconds.
Keywords
document image processing; feature extraction; image segmentation; text analysis; characters extraction; program line number; segmented characters sorting; skew angle; skewed image reading; Image segmentation; Container Number; Line Slope; Rotation Angle; Skewed Image;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Applications and Information Systems (WCCAIS), 2014 World Congress on
Conference_Location
Hammamet
Print_ISBN
978-1-4799-3350-1
Type
conf
DOI
10.1109/WCCAIS.2014.6916648
Filename
6916648
Link To Document