Application of Local Histogram and Image Interpolation Methods for Face Recognition

Student: Smirnitskiy Grigory

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Applied Mathematics (Bachelor)

Final Grade: 8

Year of Graduation: 2019

Objectsof this study areimage interpolation methods and their application to the upgrading of LBPH methodfor human faces identification on different imagesin case of their necessary scaling. The aim of study is familiarization with aforementioned methods, their realization using Python, conducting experiments, collecting results and generalization of all data. During the work LBPH method and 3 image interpolation methods were realized, experiments results for different databases were gained and the conclusion about the best way to preprocess photos was made. If any more studies are made – the results can be upgraded.

Full text (added May 25, 2019)

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