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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.Item Open Access VOICE ASSISTANT FOR MOBILE SYSTEMS WITH NATURAL LANGUAGE PROCESSING(Suleyman Demirel University, 2016) Kuanyshbay D.; Orynbetov Z.; Kariboz D.In order to handle some tasks by voice recognition it is really important that application will understand what user said. Which means that application must take a sentence that was entered by user and analyze and handle some tasks or etc. This paper is about natural language processing and analyzing sentences. In this article, we have briefly gone through the problems of NLP and some of the common techniques used in natural language analysis. These techniques are, however, very simple and fundamental. Many more complex and efficient approaches have been developed. However, in spite of these new developments, current state of the art is still capable of only limited tasks within restricted domains. Even though, work in the subject had began more than forty years ago, it is still in the very early stage of its development and there is definitely more to meet the eyes.