Discrete Cosine Transformation in Human Face Images with Noise - Subband Based Face Recognition
Journal Title: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji - Year 2015, Vol 3, Issue 2
Abstract
In this work, face recognition performances of eigenface and Fisherface algorithms in different face subspaces obtained from Discrete Cosine Transform (DCT) coefficients and original images were evaluated. DCT coefficients obtained in block structure were classified into subbands according to their energy levels. Eigenface and Fisherface subspaces were determined for four subbands which have the highest energy. Best recognition rate was achieved by the DC coefficients. Face recognition performances of the faces with Gaussian and salt&paper noises with different variance and intensity were tested. Best results were achieved by the horizontal and vertical medium frequency coefficient-subbands.
Authors and Affiliations
Ahmet Yıldırım ERDOĞAN, Hakkı Alparslan ILGIN
Keywords
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