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Face recognition using extracted points on the face

عنوان مقاله: Face recognition using extracted points on the face
شناسه ملی مقاله: ICPCONF09_151
منتشر شده در نهمین کنفرانس بین المللی مهندسی برق، کامپیوتر و مکانیک در سال 1402
مشخصات نویسندگان مقاله:

Fatemeh Dehqani Firouzabadi - Meibod Technical School for Girls Yazd, Yazd, Iran
Akram Barkhordari sharifabad - Meibod Technical School for Girls Yazd, Yazd, Iran

خلاصه مقاله:
Various models have been developed for face recognition and feature extraction. The most practical methods include: using geometric characteristics that measure the position and relative state and shapes of various characteristics. In this situation, many models have been proposed that use global face representation, including all face features are automatically extracted from an input face image. Of course, it gives us many ways to recognize identity in image processing; but in this paper we found a simple algorithm to match two faces of people without being in contact with the person. Delaunay triangulation for modeling background and other objects given as sets of points provides a good set of triangles that can be used as polygons in the model

کلمات کلیدی:
Point modeling, global position, face recognition, identity authentication, Delaunay triangulation

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1770475/