Abstract
Since last many decades, identification of the human beings on the basis of their face images is getting attraction in the domain of recognizing any pattern. In the proposed approach, a novel algorithm is utilized for the recognition of face images. Extreme learning machine (ELM), which is a non-iterative algorithm, is taken into consideration by computing their input weights with the help of genetic algorithm (GA). PCA is utilized here as the dimension reduction tool. Various face databases like ORL, Georgia Tech and YALE are tested over the proposed approach and it can be observed from the percentage error rates for all the databases that improvement through this proposed algorithm is achieved. The results are also compared with the standard extreme learning machine algorithm to show the improvement by the proposed approach compared to the standard ELM.
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.
