Omsk State University, Omsk, Russia

Full text of article: Russian language.

Abstract:
The research focuses on selection of human signature features that allow ascertaining identity and are invariant to shift transformations, scaling and rotations. We consider a hypothesis of Edmond Locard, a forensic science pioneer in France, about the angles formed by the main human-signature line elements. We propose a feature selection algorithm from human-signature images, statistical analysis of results of the algorithm operation on signature series, comparison of the algorithm with present detection algorithms of image straight-line segments and possible options for applying the developed approach.

Key words:
human signature features, affine transformations, signature series, Locard’s principle.

Citation:
Mikhailov PI, Faizullin RT. Stability testing of angular coefficients formed by line elements of a human signature (Locard’s principle) [In Russian]. Computer Optics 2007; 31(3): 70-72.

References:

1. Deans, Stanley R. The Radon Transform and Some of Its Applications. New York: John Wiley & Sons, 1983; 314 p.
   
2. Mikhailov PI, Faizullin RT. The human signature analysis based on line element detection (Locard’s principle) [In Russian]. Modeling and control information technology. International collection of research papers. Voronezh: Scientific Book Publisher, 2004; 17: 145–150.

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