Title :
Semi-automatic assembly of real cross-cut shredded documents
Author :
Deever, A. ; Gallagher, Andrew
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
This paper introduces a semi-automatic approach for cross-cut shredded document reassembly. Automatic algorithms are proposed for segmenting and orienting individual shreds from a scanned shred image, as well as for computing features and ranking potential matches for each shred. Additionally, a human-computer interface is designed to allow semi-automatic assembly of the shreds using the computed feature and match information. Our document de-shredding system was tested on puzzles from the DARPA Shredder Challenge, allowing successful reconstruction of multiple shredded documents and demonstrating the effectiveness of the automatic algorithms.
Keywords :
document image processing; feature extraction; human computer interaction; image matching; DARPA Shredder Challenge; automatic algorithm; cross-cut shredded document reassembly; document deshredding system; feature information; human-computer interface; match information; scanned shred image; semiautomatic assembly; Accuracy; Assembly; Feature extraction; Humans; Image color analysis; Image reconstruction; Ink; cross-cut; document assembly; shreds;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6466838