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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">kaz44</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Университета Шакарима. Серия технические науки</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of Shakarim University. Technical Sciences</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2788-7995</issn><issn pub-type="epub">3006-0524</issn><publisher><publisher-name>«Шәкәрім университеті» КеАҚ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.53360/2788-7995-2022-1(5)-7</article-id><article-id custom-type="elpub" pub-id-type="custom">kaz44-268</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>СТАТЬИ</subject></subj-group></article-categories><title-group><article-title>АЛГОРИТМЫ РАСПОЗНАВАНИЯ ПОДПИСИ. АЛГОРИТМ БЕЗЬЕ</article-title><trans-title-group xml:lang="en"><trans-title>SIGNATURE RECOGNITION ALGORITHMS. BEZIER ALGORITHM</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Төлеушова</surname><given-names>А. Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Toleushova</surname><given-names>A. T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>магистр естественных наук, ассистент кафедры информационных технологий</p><p>г. Алматы, ул. Толе Би 100 </p></bio><bio xml:lang="en"><p>Master of Natural Sciences, Assistant of the Department of Information Technology</p><p>Almaty</p></bio><email xlink:type="simple">ainurka19_95@bk.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Уйпалакова</surname><given-names>Д. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Uypalakova</surname><given-names>D. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>лектор кафедры информационных технологий</p><p>г. Алматы, ул. Толе Би 100 </p></bio><bio xml:lang="en"><p>Lecturer of the Department of Information Technologies</p><p>Almaty</p></bio><email xlink:type="simple">dinaraatu2020@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Имансакипова</surname><given-names>А. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Imansakipova</surname><given-names>A. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>лектор кафедры информационных технологий</p><p>г. Алматы, ул. Муратбаева, 200 </p></bio><bio xml:lang="en"><p>Lecturer of the Department of Information Technologies</p><p>Almaty</p></bio><email xlink:type="simple">dinaraatu2020@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Алматинский технологический университет<country>Казахстан</country></aff><aff xml:lang="en">Almaty Technological University<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Казахский университет международных отношений и мировых языков имени Абылай хана<country>Казахстан</country></aff><aff xml:lang="en">Kazakh University of International Relations and World Languages<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>23</day><month>09</month><year>2022</year></pub-date><volume>0</volume><issue>3(7)</issue><fpage>47</fpage><lpage>53</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Төлеушова А.Т., Уйпалакова Д.М., Имансакипова А.Б., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Төлеушова А.Т., Уйпалакова Д.М., Имансакипова А.Б.</copyright-holder><copyright-holder xml:lang="en">Toleushova A.T., Uypalakova D.M., Imansakipova A.B.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://tech.vestnik.shakarim.kz/jour/article/view/268">https://tech.vestnik.shakarim.kz/jour/article/view/268</self-uri><abstract><p>В этой статье основное внимание уделяется совершенствованию человеческого и машинного интерфейса, который должен обеспечивать эффективную обработку данных и знаний простыми, быстрыми и доступными способами. Один из способов его организации – введение рукописи (ввод текста, рисунков, рисунков и т.д.). Рукописные подписи можно рассматривать как рукописные слова, но они больше подходят для рисунков, потому что подписывающий пытается сделать свою подпись уникальной, используя не только свои первые и последние названия, но и дополнительные графические элементы. Создать подпись довольно просто, хотя невозможно воспроизвести скорость записи. </p><p>Подпись уже давно используется для удостоверения подлинности документов и верификации (проверки подлинности) личности. В принципе, фирменная экспертиза применяется при судебной экспертизе. Распознавание подписи может осуществляться путем последовательной проверки подписи каждого известного человека. Методика распознавания подписи включает методику верификации и обработку результатов верификации. Одним из современных направлений совершенствования интерфейса является разработка и исследование программного обеспечения для распознавания и визуализации подписи. </p><p>Появление современных средств ввода в компьютер привело к появлению нового типа онлайн - подписи, описывающей процесс создания подписи, а не результат. Причем не только координаты точек на линии, но и последовательность векторов значений параметров для каждого из значений давления, направления и скорости движения, угла адаптации пера и времени подписи. </p></abstract><trans-abstract xml:lang="en"><p>This article focuses on improving the human and machine interface, which should ensure efficient processing of data and knowledge in simple, fast and accessible ways. One of the ways to organize it is the introduction of the manuscript (entering text, drawings, drawings, etc.). Handwritten signatures can be considered as handwritten words, but they are more suitable for drawings, because the signer tries to make his signature unique, using not only his first and last names, but also additional graphic elements. Creating a signature is quite simple, although it is impossible to reproduce the recording speed. </p><p>The signature has long been used to certify the authenticity of documents and verify (authenticate) an individual. In principle, the signature examination is used during the forensic examination. Signature recognition can be carried out by sequential verification of the signature to each known person. The signature recognition methodology includes a verification methodology and processing of verification results. One of the modern areas of interface improvement is the development and research of software for signature recognition and visualization. </p><p>The advent of modern computer input tools has led to the emergence of a new type of online signature describing the signature creation process, not the result. Moreover, not only the coordinates of points on the line, but also a sequence of vectors of parameter values for each of the values of pressure, direction and speed of movement, the angle of adaptation of the pen and the signature time. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>верификация</kwd><kwd>функция</kwd><kwd>алгоритм</kwd><kwd>бинаризация</kwd><kwd>подпись</kwd></kwd-group><kwd-group xml:lang="en"><kwd>verification</kwd><kwd>function</kwd><kwd>algorithm</kwd><kwd>binarization</kwd><kwd>signature</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Tolosana, R. Biometric Signature Verification Using Recurrent Neural Networks / R. Tolosana, R. Vera Rodriguez, J. Fierrez, J. Ortega-Garcia // Proceedings of the International Conference on Document Analysis and Recognition, 2018. – Vol. 1. – pp. 652-657.</mixed-citation><mixed-citation xml:lang="en">Tolosana, R. 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