Title :
Semi-automatic Forensic Reconstruction of Ripped-up Documents
Author_Institution :
Nationaal Inst. voor Criminalistiek en Criminologie (NICC/INCC), Brussels, Belgium
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;
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2009.7