Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
