DocumentCode
245482
Title
Image segmentation methods for sanitizable signatures
Author
Jing Wu ; Oouti, Yuma ; Araki, Shunsuke ; Kakizaki, Ken´ichi
Author_Institution
Kyushu Inst. of Technol., Fukuoka, Japan
fYear
2014
fDate
26-28 May 2014
Firstpage
51
Lastpage
52
Abstract
In the presented paper, we give two feature-based segmentation methods of a digital image such as a photo or a scanned document for sanitizable signatures. Since the image must be partitioned into multiple segments before one is signed, we focus on features such as faces in photos and characters in scanned documents. Our methods divide the photo image into segments with the same pixel value and the scanned document into segments with a character. We also proposed a sanitized signature scheme that can detect forged segments if the signature is invalid.
Keywords
image scanners; image segmentation; digital image method; document scanning; feature-based image segmentation method; forged segment detection; sanitized signature scheme; Digital images; Digital signatures; Equations; Image color analysis; Image segmentation; Mathematical model; Proposals;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/ICCE-TW.2014.6904096
Filename
6904096
Link To Document