Presented a New Method in Determining the Amount of Similarity Faces Using Symbols and HSV Colored Spectrum Histograms
A lot of researches have been done about image processing these years. One of the most widely used fields is face recognition based on appearance features. In these research 250 samples of different people's faces has been taken in RGB mode as the input data and symbols and angles between applied symbols and considered parameters have been achieved and have been saved in the database. Then every image is changed to HSV and its histogram is made. Because of the importance of H spectrum, the authors considered 18 levels for its H's histogram and 3 levels for the histograms' of S and V. Then, they calculate the probability of histograms' levels of colored spectrum of gotten images and they register them.