Improving Face Recognition Rate with Image Preprocessing
作者： Krishna Dharavath , Fazal Ahmed Talukdar , Rabul Hussain Laskar , None
DOI: 10.17485/IJST/2014/V7I8.26
关键词: Image quality 、 Computer vision 、 Computer science 、 Kanade–Lucas–Tomasi feature tracker 、 Feature (machine learning) 、 Three-dimensional face recognition 、 Feature (computer vision) 、 Feature extraction 、 Artificial intelligence 、 Feature detection (computer vision) 、 Preprocessor 、 Facial recognition system 、 Pattern recognition
摘要: Quality of image plays a vital role in increasing face recognition rate. A good quality gives better rate than noisy images. It is more difficult to extract features from such images which in-turn reduces To overcome problems occurred due low image, pre-processing done before extracting the image. In this paper we will analyze effect prior feature extraction process with respect This also qualitative description various techniques and schemes that were used for our analysis. The results analyzed help bar graphs. combined method (Spatial Frequency) shows superior performance individual schemes. Also, even without
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