Browsing by Author "Aitimov A."

Now showing 1 - 4 of 4
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    2D face recognition using PCA and triplet similarity embedding
    (Bulletin of Electrical Engineering and Informatics, 2023) Bazatbekov B.; Turan C.; Kadyrov Sh.; Aitimov A.
    The aim of this study is to propose a new robust face recognition algorithm by combining principal component analysis (PCA), Triplet Similarity Embedding based technique and Projection as a similarity metric at the different stages of the recognition processes. The main idea is to use PCA for feature extraction and dimensionality reduction, then train the triplet similarity embedding to accommodate changes in the facial poses, and finally use orthogonal projection as a similarity metric for classification. We use the open source ORL dataset to conduct the experiments to find the recognition rates of the proposed algorithm and compare them to the performance of one of the very well-known machine learning algorithms k-Nearest Neighbor classifier. Our experimental results show that the proposed model outperforms the kNN. Moreover, when the training set is smaller than the test set, the performance contribution of triplet similarity embedding during the learning phase becomes more visible compared to without it.
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    COMPARATIVE ANALYSIS OF FACE RECOGNITION ALGORITHMS IN THE PROBLEM OF VISUAL IDENTIFICATION
    (СДУ хабаршысы - 2021, 2021) Sadyk U. ; Tursyn D. ; Sarsenbay Sh. ; Aitimov A.
    Abstract. The article is devoted to two approaches to face recognition implemented in the visual identification software package. The corresponding algorithms are described, flowcharts and fragments of their software implementation are given, and the results of their applicability are analyzed on the basis of the conducted research.
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    METHODS FOR HANDLING FRAMES OF HAND GESTURE RECOGNITION
    (СДУ хабаршысы - 2021, 2021) Tursyn D. ; Sadyk U. ; Aitimov A.
    Abstract. One of the foremost imperative errands within the field of computer vision is motion acknowledgment. This article deals with the problem of recognizing hand gestures from a static image. To solve this problem, the article suggests using the segmentation method based on the skin color model, and the recognition method based on the analysis of the shape of the hand and the selection of features that classify the gesture image. Most strategies of preparing outlines of hand gestures are considered: smoothing and binarization of pictures, their revolution, and changing the foundation. The preferences of utilizing these strategies in understanding the issue of hand motion acknowledgment are displayed.
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    ORGANIZATION OF A MIXED LESSON IN COMPUTER SCIENCE
    (СДУ хабаршысы - 2019, 2019) Aitimov A. ; Makhanova E.
    Abstract. Trilingual education, the updated education program and its effective and ineffective sides, innovative technologies, the ability to apply them to the lessons of the modern updated program, the integrated lessons, the best ways of integrated learning in computer science, CLIL technology and its importance. Computer science-the field of science that studies the patterns, methods, methods of obtaining, storing, converting, transmitting and using information using a computer and other technical devices. Informatics studies the collections of the new technologies. Information technologies develop from year to year. Teach it to the younger generation in the hands of young professionals.This paper discusses the creation of a trilingual education system, innovative technologies, integrated lesson and CLIL technology.