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Text image authentication technology research

Author: DuMin
Tutor: GaoBaoJian
School: Northwestern University
Course: Communication and Information System
Keywords: Image Authentication Binary Text Digital Signature Digital Watermarking Locate tampered
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 71
Quote: 1
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Abstract


The end of the 20th century, the digital multimedia security issue has become a hot research field of information security. Text image as a special class of digital multimedia, plays a decisive role in the social life. A lot of security risks in the current fragile Internet security mechanisms, the use of the image of some important text. Therefore, it is necessary to conduct in-depth study of the text image authentication technology, for the protection of the safe use of these important texts. Firstly, a comprehensive analysis of the current research in the field of text image authentication status quo, then the binary text image authentication and robust text image authentication respectively depth study, the main results are as follows: (1) the current text of the binary image authentication algorithm can not effectively solve the problem of the image uniformity District tampering certification, a short digital signature of the binary text image authentication algorithm. The algorithm of the uniform area of ??the image distribution extract the digital signature of a very short length, and effective solution to the problem of image uniformity tamper authentication; Further, algorithms ensure good visibility under the premise, the non-uniform area of ??75% the theoretical probability of tamper detection. (2) After the observation and analysis of binary text image 16 module center pixel flip does not change the image line and column number of scan vectors run. Based on this feature, a new image authentication algorithm based on the binary digital watermarking text, binary text image uniformity certified protection and higher accuracy tampering positioning. The experiments show that the algorithm can effectively certified image uniformity and high tamper detection rate and good visibility. (3) the characteristics of the skeleton structure of Chinese characters, designed a new method for image feature extraction in a text. The experiments show that such a method to extract text image features the ability of anti-noise, and can be used for text image content authentication and tamper localization. (4) improved a wavelet domain watermark embedding methods, not poor visibility this shortcoming by reducing the number of parameters to be revised to improve the original algorithm. The experiments show that the improved embedded algorithm robustness declined slightly compared to the original algorithm, but the visibility is much better than the original algorithm, can be used for the text image copyright protection and content authentication. (5) The first analysis of the need for the gray text image content authentication and combined (3), (4) the conclusion of a Robust text image content authentication scheme. The experiments show that the program is a 50% probability of tamper detection of gray-scale images of text, and has better visibility and robustness.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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