Abstract
A comparative analysis of the computational complexity and probability of false recognition for object identification methods in images, which are based on a comparison with a pattern, viz., correlation-extreme method, contour analysis method, and stochastic gradient identification algorithm. Possibilities of parametric optimization of the studied methods are considered.
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