It is difficult to realize the text watermarking algorithm on natural language, and the format of text watermarking algorithm has poor robustness against format attacks. This paper presents the new text recognition algorithm based on the text feature. The words are segmented and extracted according to the text feature. The feature dimensions are reduced with the technology of LSA and stop-words database. The new similarity method is also defined to determine the threshold in order to detect the watermarking. The experimental results indicate that the proposed algorithm has better operating efficiency and stronger robustness than the previous researches. This algorithm can also handle the text document written in both Chinese and English effectively.
목차
Abstract 1. Introduction 2. Relevant Knowledge 3. Identification Algorithm for Text Feature 3.1 Compute of Similarity 3.2 Extraction and Recognition of Text Feature 4. Experimental Results and the Analysis of the Performance 4.1 Ascertain the Threshold 4.2 Attack Experiments 5. Conclusions References
키워드
Word segmentationfrequencytext featuresimilarity methodlatent semantic analysis
저자
De Li [ Department of Computer Science, Yanbian University 133002, Yanji, China ]
XueZhe Jin [ Department of Computer Science, Yanbian University 133002, Yanji, China ]
LiHua Cui [ College of Economics and Management, Yanbian University 133002, Yanji, China ]
Corresponding author
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.11 No.5