A Spatial Domain Steganography for Grayscale Documents Using Pattern Recognition Techniques
| Autor: | Cu Vinh Loc, Jean-Christophe Burie, Jean-Marc Ogier |
|---|---|
| Přispěvatelé: | Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR) |
| Rok vydání: | 2017 |
| Předmět: |
Steganography
Computer science business.industry Local binary patterns Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Pattern recognition Image processing 02 engineering and technology Hough transform law.invention law [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Distortion Information hiding Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering Feature (machine learning) 020201 artificial intelligence & image processing Artificial intelligence business Digital watermarking ComputingMilieux_MISCELLANEOUS |
| Zdroj: | IWCDF@ICDAR 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.21-26, ⟨10.1109/ICDAR.2017.391⟩ |
| DOI: | 10.1109/icdar.2017.391 |
| Popis: | Steganography is an effective way to hide a secret message into a document image with the objective of providing authenticity of transmitted documents. Steganography has been widely used for natural images but few researches have been carried out to apply this strategy on document images. In this study, we proposed a novel data hiding scheme that enables to embed a secret information with moderate length by taking advantages of pattern recognition techniques. Firstly, the potential feature points used for constructing embedding regions are identified by using the Speed Up Robust Features (SURF) detector. Secondly, Local Binary Pattern (LBP) is utilized to figure out embedding patterns inside each embedding region, Local Ternary Pattern (LTP) are then effectively exploited to locate the stable embedding positions inside embedding patterns in which the secret bits are embedded in. Finally, to make the scheme being robust against document rotation caused by distortion of printing and scanning process, Hough transform is applied to compute the rotation angle for restoring rotated document to original direction. Besides, repetition code and other improved methods are implemented to possibly enhance the accuracy of extracted secret data. The proposed steganography scheme in spatial domain is capable of detecting embedded data without any references and resisting to common image processing distortion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|