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