DocumentCode :
3562433
Title :
A novel automatic deforming for smartphone image scanning using gradient-based corner detection
Author :
Hue Thanh Nguyen ; Dung Vo
Author_Institution :
Fac. of Electr. & Electron. Eng., Ho Chi Minh City Univ. of Technol., Ho Chi Minh City, Vietnam
fYear :
2014
Firstpage :
15
Lastpage :
18
Abstract :
The paper proposes an automatic algorithm to deform document images resulting from document scanning using smartphone camera. The algorithm integrates computing image gradient, edge detection and geometric transformations. At first, the gradient operators are implemented to estimate the location of edge pixels. Then the scanned document corners are found based on the edge map. Finally, geometric transformations combining projective mapping and bilinear interpolation are used to deform the image, which makes the image well-balanced and easier to read. The algorithm demands simple computation, which helps to obtain low complexity and short running time for smartphone application. The effectiveness of the proposed algorithm for deforming image is demonstrated and the evaluation results are reported in this paper.
Keywords :
document image processing; edge detection; interpolation; smart phones; bilinear interpolation; document image deforming; edge detection; geometric transformations; gradient-based corner detection; image gradient; projective mapping; smartphone camera; smartphone image scanning; Algorithm design and analysis; Cities and towns; Complexity theory; Image edge detection; Interpolation; Software; boundary and corner; deforming; edge detection; geometric transformations; gradient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Technologies for Communications (ATC), 2014 International Conference on
Print_ISBN :
978-1-4799-6955-5
Type :
conf
DOI :
10.1109/ATC.2014.7043347
Filename :
7043347
Link To Document :
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