DocumentCode
1632460
Title
Semi-automatic Forensic Reconstruction of Ripped-up Documents
Author
De Smet, P.
Author_Institution
Nationaal Inst. voor Criminalistiek en Criminologie (NICC/INCC), Brussels, Belgium
fYear
2009
Firstpage
703
Lastpage
707
Abstract
Manual reconstruction of ripped-up documents can be a very difficult and time-consuming task. This paper discusses a semi-automatic toolset that can be used for reconstructing ripped-up documents. First, we present a brief overview of our current fragment scanning,image segmentation and feature computation methods. Then, we discuss how fragments can be matched using their computed features. Next, we report on our global multi-fragment matching strategy and discuss the interactive components of the toolset that can be used to control and iterate through an entire reconstruction process. Finally, we illustrate the efficiency of the proposed approach with experimental results.
Keywords
document image processing; feature extraction; forensic science; image matching; image reconstruction; image segmentation; feature computation method; image segmentation; multifragment matching strategy; ripped-up document; semiautomatic forensic reconstruction; Automatic control; Computer vision; Digital images; Forensics; Humans; Image processing; Image reconstruction; Image segmentation; Text analysis; Visual system; document reconstruction; forensics;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location
Barcelona
ISSN
1520-5363
Print_ISBN
978-1-4244-4500-4
Electronic_ISBN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2009.7
Filename
5277485
Link To Document