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Effective indexing for face recognitionFace recognition is one of the most important tasks in computer vision and pattern recognition

Convolution Neural Network Learning Features for Handwritten Digit Recognition-batches on the learning speed and pattern recognition accuracy is analyzed. The optimal sizes of mini-batch are obtained

Методы и алгоритмы распознавания рукописных символов на основе моментных функций the problem of handwritten characters recognition based on moment functions is investigated. The purpose

Human activity recognition based on random forestWith the improvement of pattern recognition algorithm, human activity recognition (HAR) based

INVARIANT MOMENTS AND METRICS IN PATTERN RECOGNITION for solving the problem of recognition of graphic images in an unstable environment. Much attention is paid

About one principle to identification of shape of objectProcess of recognition of the shape of graphic objects consists of several stages. At the first

FORMATION OF SPATIAL IMAGES OF STEREOMETRIC COMBINATIONS WITH USE OF NEW INFORMATION TECHNOLOGIESThe system of computer support based on head tracking and hand gesture recognition

Extraction of iris images for IT diagnosisIris diagnostics is a method based on the recognition of its features to determine the state

The System of Handwritten Letters Recognition Based on Neural NetworkThis paper is about the method of pattern recognition using the example of handwritten letters

Classification of point forms and establish a library for coding the skeleton of the binary images is proposed. The result of the preprocessing point is a compressed library of point patterns.

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