Научная электронная библиотека ULRICH'S Periodicals Directory

Сибирский государственный университет
науки и технологий имени академика М.Ф. Решетнева

Сибирский аэрокосмический журнал
ISSN 2712-8970 (Print) ISSN 2782-5760 (on-line)

Сведения об образовательной организации

UDK 004.932.2
PERSON IDENTIFICATION BY SIGNATURE IN THE ELECTRONIC DOCUMENT MANAGEMENT SYSTEM
R. P. Baranov
Siberian State Aerospace University named after academician M. F. Reshetnev 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660014, Russion Federation E-mail: zeatool@gmail.com
This report deals with the approach to the problem of human identification by signature. It is described how to identify person's signature, depending on the source from which the signature was obtained. A method for pre-processing the image signature is considered. An example of the method signature of the cashier in the image obtained from a photograph of the check is shown. The of-line signature verification is demanded in business and marketing, bank transactions, security control, and document authentication. The off-line signature verification is the difficult process against the on-line verification. In this paper, the extension of feature set, including global, local, and special features for simple and cursive types of signatures, is proposed. The global features are required to create a decision tree, which limits a field of the search. In this report, an approach for a human identification by person signature is considered. The methods of signature identification dependently from a way, how this signature was received, are described. A pre-processing of an image improves the following identification results. The implementation of Distance Transform algorithm describing the various metrics is shown. An approach for calculating the graphical representation of the signature characteristics, based on the calculation of the distance matrix is given. The benefits of the proposed algorithm for calculating the characteristics over the classic algorithm are described. An algorithm of comparing signature graphic characteristics using the metric SSIM is shown. Testing algorithm for human identification signature using different image quality and size is conducted. The results of testing the algorithm are shown. The software system for a person’s identification by a signature is developed.
image processing, skeletonization, person identification, biocryptograph
References

  1. Vul S. M. Sudebno-avtorovedcheskaja jekspertiza: sovremennoe sostojanie i perspektivy [Forensic authorial examination: current status and prospects]. Vilnus, Pravo Publ., 1981, 544 p.

  2. Baranov R. P. [Identification of human personal signature] V materialakh XV mezhdunarodnoj nauchnoj konferentsii “Reshetnevskie chtenija” [The materials of the XV International Scientific Conference "Reshetnev readings"]. Krasnoyarsk, 2011, p. 603–604 (In Russ.).

  3. Offline Signature Verification Using Local Radon Transform and Support Vector Machines / V. Kiani, R. Pourreza, H. R. Pourreza. International journal of Image Processing (IJIP). 2010, vol. (3), Iss. (5).

  4. Mesteckij L. M. [Skeletonization multiply polygonal figure based on its boundary adjacent tree]. Sibirskiy zhurnal vychislitel'noy matematiki. 2006, no. 3, p. 299–314 (In Russ.).

  5. Mestetskiy L. M., Reyer I. A. [IA Building skeletal domain with a piecewise smooth boundary based on polygonal approximation]. Materialy X Vseros. konf. “Matematicheskie metody raspoznavaniya obrazov” (MMRO-10) [Material X All-Russian Conference “Mathematical methods for pattern recognition” (MMRO-10)]. Moscow, 2010 (In Russ.).

  6. Baranov R. P., Belokon' A. V., Favorskaya M. N. [Identifying and prioritizing the attributes of the objects in the image recognition systems]. Vseros. nauch.-prakt. konf. tvorcheskoy molodezhi “Aktual'nye problemy aviatsii i kosmonavtiki” [All-Russian scientific-practical conference of creative youth “Actual problems of aviation and space exploration”]. Krasnoyarsk, 2012, vol. 1, p. 127.

  7. Forsayt D. A. Komp'yuternoe zrenie. Sovremennyy podkhod. [Computer vision. Modern approach]. Moscow, Vil'yams Publ., 2004, 928 p.

  8. Favorskaya M. N. Metody raspoznavaniya izo-brazheniy i videoposledovatel'nostey [Methods of image recognition and video sequences]. Krasnoyarsk, 2010, 176 p.

  9. Furman Ya. A. Vvedenie v konturnyy analiz i ego prilozheniya k obrabotke izobrazheniy i signalov. [Introduction to contour analysis and its applications to image and signal processing]. Moscow, Mashinostroenie Publ., 2003, 648 p.

  10. Siddiqi K., Pizer S. M., 2008. Medial representations: Mathematics, Algorithms and Applications. Springer, 2008.

  11. Baranov R. P., Bolgov A. N., Kazmiruk E. S. [Comparison of images of human signatures based on distance matrix]. V materialakh XVI mezhdunarodnoy nauchnoy konf. “Reshetnevskie chteniya” [The materials of the XVI International scientific conference “Reshetnev readings”]. Krasnoyarsk, 2012, p. 590–591 (In Russ.).

  12. Mestetskiy L. M. Nepreryvnaya morfologiya binarnykh izobrazheniy: figury, skelety, tsirkulyary. [Continuous morphology of binary images: figures, skeletons, circulars]. Moscow, Fizmalit Publ., 2009, 288 p.

  13. Baranov R. P. [Identification of a man by his personal signature]. V materialakh mezhdunarodnoy prakticheskoy konf. “Molodezh' Sibiri – nauke Rossii” [The materials of the international conference “Youth of Siberia – Russian science”]. Krasnoyarsk, 2012, p. 29 (In Russ.).

  14. Bolgov A. N., Baranov R. P., Kazmiruk E. S. [Structuring images based on mining association rules].
    V materialakh XVI mezhdunarodnoy nauchnoy konf. “Reshetnevskie chteniya” [The materials of the XVI International scientific conference “Reshetnev readings”]. Krasnoyarsk, 2012, p. 594–595 (In Russ.).

  15. Daramola S. Person Identification System using Static and dynamic Signature Fusion // International Journal of Computer Science and Information Security. 2010. Vol (6)7, p. 88–92.


Baranov Roman Pavlovich – postgraduate student, Siberian State Aerospace University named after academician M. F. Reshetnev, software engineer, JSC ‘KZH Biryusa’. Е-mail: zeatool@gmail.com