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Item Open Access 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.Item Open Access Face extraction and recognition from public images using HIPI(ResearchGate, 2018) Bogdanchikov A.; Kariboz D.; Meraliyev M.Social networking services with public data are widely used nowadays. Billions of images uploaded to the internet each day over the world. This paper proposes the idea of a system which is currently being developed. The system collects images from public sources by some specific criteria, applies face detection and recognition algorithms on collected images, and provides the results in readable form. The Apache Hadoop library is used to increase performance of the system, and images are downloaded by the help of HIPI library. For testing purposes Labeled Faces in the Wild benchmark is used as a database for images containing over 13233 images of 5749 identities. Each image is jpg format in 250*250 resolutions. Results were more than good after testing the system with this database for face detection and recognition.Item Open Access ANALYZE AND DEVELOPMENT SYSTEM WITH MULTIPLE BIOMETRIC IDENTIFICATION(СДУ хабаршысы - 2020, 2020) Baimuratov O. ; Dadakhanov Sh.Abstract. Cause of a rapid increase in technological development, increasing identity theft, consumer fraud, the threat to personal data is also increasing every day. Methods developed earlier to ensure personal the information from the thefts was not effective and safe. Biometrics were introduced when it was needed technology for more efficient security of personal information. Old-fashioned traditional approaches like Personal identification number (PIN), passwords, keys, login ID can be forgotten, stolen or lost. In biometric authentication system, user may not remember any passwords or carry any keys. As people they recognize each other by the physical appearance and behavioral characteristics that biometric systems use physical characteristics, such as fingerprints, facial recognition, voice recognition, in order to distinguish between the actual user and scammer. In order to increase safety in 2005, biometric identification methods were developed government and business sectors, but today it has reached almost all private sectors as Banking, Finance, home security and protection, healthcare, business security and security etc. Since biometric samples and templates of a biometric system having one biometric character to detect and the user can be replaced and duplicated, the new idea of merging multiple biometric identification technologies has so-called multimodal biometric recognition systems have been introduced that use two or more biometric data characteristics of the individual that can be identified as a real user or not.