DocumentCode :
2295740
Title :
Binary Documents Recovery Based on Skeleton Extraction
Author :
Lin, Chu-Hsing ; Liu, Jung-Chun ; Cheng, Lun-Yuen ; Chung, Jung-Jung
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tunghai Univ., Taichung, Taiwan
fYear :
2009
fDate :
4-6 June 2009
Firstpage :
164
Lastpage :
167
Abstract :
In the ubiquitous computing environment, digital media is widespread fast and interweaving into our everyday lives. As an effective method to achieve copyright protection of digital media, digital watermarking technology has been widely used in multimedia, such as images, videos, and audios, and other areas such as binary documents, which has been explored extensively in recent years. In this paper, we propose a new method to protect and recover binary document images from tampering. Black skeletons are calculated and then information is embedded in the host file. The embedded information can be extracted from the embedded file later to compare with the original black skeletons for file verification. The experimental results show that our proposed method is effective in detecting locations of tampered data and recovering binary document images.
Keywords :
document image processing; feature extraction; image thinning; multimedia computing; ubiquitous computing; watermarking; binary document image recovery; black skeletons; copyright protection; digital media; digital watermarking technology; file verification; skeleton extraction; tamper detection; ubiquitous computing environment; Computer science; Cryptography; Data mining; Embedded computing; Multimedia computing; Protection; Skeleton; Steganography; Ubiquitous computing; Watermarking; Binary document images; Black skeleton; File integrity; Tamper detection; Ubiquitous computing; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Ubiquitous Engineering, 2009. MUE '09. Third International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3658-3
Type :
conf
DOI :
10.1109/MUE.2009.38
Filename :
5319027
Link To Document :
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