DocumentCode :
249842
Title :
A semi-automatic deshredding method based on curve matching
Author :
Shize Shang ; Sencar, H.T. ; Memon, N. ; Xiangwei Kong
Author_Institution :
Dalian Univ. of Technol., Dalian, China
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
5537
Lastpage :
5541
Abstract :
We present a semi-automatic method to reconstruct shredded documents. The novelty of the method lies in the way it performs pairwise matching of chads. The technique divides chad contours into curves using corner detection and introduces a procedure to assess the match of two curves. The proposed curve matching technique is robust to translation and rotation and can cope with shape deformations due to shredding by allowing overlapping of chads during matching. The alignment of text lines, crossing characters and color information on the chads is also utilized to improve matching performance. Visual interfaces are designed to allow for user input in identifying correctly matching chad pairs and reconstructing the document. The effectiveness of the method is demonstrated by solving the first and second puzzles of the DARPA shredder challenge.
Keywords :
document image processing; image matching; text detection; DARPA shredder; color information; corner detection; crossing characters; curve matching technique; pairwise matching; semiautomatic deshredding method; shape deformations; shredded documents; text lines; visual interfaces; Color; Educational institutions; Image color analysis; Image edge detection; Image reconstruction; Image segmentation; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7026120
Filename :
7026120
Link To Document :
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