An application of Zernike moments based digital watermarks for photo document electronic archive management

Мұқаба

Дәйексөз келтіру

Толық мәтін

Аннотация

In this article authors are considering about information security data integrity problem relevant for electronic archive management. In high-tech industry large electronic photo archives arises as a part of quality management. Photofixation applied for responsible operations control, documenting the technological process, fixing the components state on input and output control, incongruities registration. An image substitution or reuse possibility makes necessary electronic archive proto document integrity control. This illegal actions can be both the result of operator mistake and motivated by intentional a defect concealment. As a solution authors suggest an electronic archive organizing method for storing photo documents. The method based on a digital watermark labeling of full-color images with orthogonal Zernike moments calculated for certain image points (and their neighborhoods). Suggested method can prevent watermark destruction by geometric image transformation (rotation, compressing, reflection etc.). Digital watermark contains both information about technological process on current image and information about other images – this fact lets talk about integrity of whole photo documents set. One of the most important method characteristic is image format invariability and additional metadata files unnecessary what allows user to use standard software for a further work with photo document.

Авторлар туралы

Pavel Shipulin

JSC Academician M. F. Reshetnev “Information Satellite Systems”

Хат алмасуға жауапты Автор.
Email: pshipulin@gmail.com

Software Engineer of the Information Security Sector

Ресей, 52, Lenin St., Zheleznogorsk, Krasnoyarsk region, 662972

Roman Lebedev

JSC Academician M. F. Reshetnev “Information Satellite Systems”

Email: lebedevrv@iss-reshetnev.ru

Head of the Information Security Sector

Ресей, 52, Lenin St., Zheleznogorsk, Krasnoyarsk region, 662972

Maksim Sosnovskiy

JSC Academician M. F. Reshetnev “Information Satellite Systems”

Email: sosnovskiyms@iss-reshetnev.ru

Software Engineer of the Information Security Sector

Ресей, 52, Lenin St., Zheleznogorsk, Krasnoyarsk region, 662972

Әдебиет тізімі

  1. Boyarinova L. V. Process fotofiksacii kak instrument dlya uluchsheniya sistemy menedzhmenta kachestva [Photofixation as the quality management system improving tool]. Metrologiya, standartizatsiya i upravleniye kachestvom: Materialy III Vserossiyskoy nauchno-tekhnicheskoy konferentsii. Omsk, 2018, P. 26–29. (In Russ.)
  2. Gnedykh A. Yu. [Methods and means of documenting]. Dokumentatsionnoye obespecheniye organizatsionnoy i proizvodstvennoy deyatel'nosti: Sbornik materialov regional'noy nauchno-prakticheskoy konferentsii. Kursk, 2015. P. 17–19. (In Russ.)
  3. Balanovskaya A. V. [Information security threat analysis of an industrial enterprise]. Vestnik samarskogo munitsipalnogo instituta upravleniya. 2013, No. 2 (25), P. 7–17. (In Russ.)
  4. Gribunin V. G., Okov I. N., Turincev I. V. Cifrovaya steganographia [Digital staganography]. Moscow, Solon-Press Publ., 2002, 272 p.
  5. Sharma C., Prashar D. Visible and invisible watermarking methods for quality loss of data. International Journal of Advanced Research in Computer Science and Electronics Engineering. 2012, Vol. 1, No. 3, P. 57–63.
  6. Oreshkina E. I., Favorskaya M. N. [Classification of digital watermarking methods]. Aktualniye problemy aviatsii i kosmonavtiki. 2015, No. 14 (1), P. 414–415. (In Russ.)
  7. Borisova S. N. [Using the wavelet transform algorithm for embedding digital watermarks into image files]. XXI vek: itogi proshlogo i problemy nastoyashchego plyus. 2015, No. 2 (25), P. 110–115. (In Russ.)
  8. Wang Xiang-yang rt al. A new robust digital watermarking using local polar harmonic Transform. Computers and Electrical Engineering. 2015, No. 46, P. 403–418.
  9. Chen Q., Yang X., Zhao J. Robust image watermarking with Zernike moments. IEEE Canadian Conference on Electrical and Computer Engineering. 2005, P. 1340–1343.
  10. Karthik P., Sathiya Priya E. Robust and High-Secured Watermarking System Using Zernike Moments. International Journal of Innovative Research in Computer and Communication Engineering. 2014, Vol. 2, P. 7074–7079.
  11. Hui Zhang, Huazhong Shu, Gouenou Coatrieux, Jie Zhu, Jonathan Wu. Affine Legendre moment invariants for image watermarking robust to geometric distortions. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers. 2011, No. 20 (8), P. 2189–99.
  12. Shniperov A. N., Sosnovskiy M. S., Shipulin P. M. [The Robust Image Digital Watermark Labeling Method Based on Orthogonal Zernike Moments]. Information technologies. 2019, Vol. 25, No. 7, P. 405–413. (In Russ.)
  13. Shi J., Tomasi C. Good Features to Track. IEEE Conference on Computer Vision and Pattern Recognition. 1994, P. 593–600.
  14. Chandan Singh, Sukhjeet K. Ranade. An Effective Image Watermarking System for High Embedding Capacity. IJCA Proceedings on International Conference on Recent Advances and Future Trends in Information Technology. 2012, P. 22–28.
  15. Ismail A. Ismail, Mohamed A. Shouman, Khalid M. Hosny and Hayam M. Abdel Salam. Invariant Image Watermarking Using Accurate Zernike Moments. Journal of Computer Science. 2010, No. 6 (1), P. 52–59.
  16. Chandan Singha, Ekta Waliab. Fast and numerically stable methods for the computation of Zernike moments. Pattern Recognition. 2010, Vol. 43, P. 2497–2506.
  17. Chen Q., Yang X., Zhao J. Robust image watermarking with Zernike moments. IEEE Canadian Conference on Electrical and Computer Engineering. 2005, P. 1340–1343.

Қосымша файлдар

Қосымша файлдар
Әрекет
1. JATS XML
Жүктеу

© Shipulin P.M., Lebedev R.V., Sosnovskiy M.S., 2021

Creative Commons License
Бұл мақала лицензия бойынша қолжетімді Creative Commons Attribution 4.0 International License.