Face Recognition using Modified Power Law Transform and Double Density Dual Tree DWT
D Ravinaik, C O Pavan, Sachin K Bhat Agni, Prasanna Prakash Pai, K. Suresh Babu, K. Bommanna Raja · 2019
Face recognition is extensively used to establish the identity of an individual for several modern applications as it is contactless and non-invasive. In this paper, we propose a method for face recognition using modified power law transform and double density dual tree discrete wavelet transform. Various typical face databases are used to test the projected method involving face detection based on viola jones algorithm. The novel concept is introduced to modify the existing power law transform to enhance quality of face region for better recognition. The Double Density Dual Tree Discrete Wavelet Transforms (DDDTDWT) is used to extract features. The Euclidian Distance (ED) is used to match the obtained features of database and test face images to compute performance parameters. It is noticed that the performance of the proposed method is better compared to existing methods.