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
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;
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ICCE-TW.2014.6904096