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
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;
Conference_Titel :
Computer Applications and Information Systems (WCCAIS), 2014 World Congress on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4799-3350-1
DOI :
10.1109/WCCAIS.2014.6916648
