Image Quality Assessment for Multi Face recognition Based on Learning to Rank

Image Quality Assessment for Multi Face recognition Based on Learning to Rank
Author(s):
B.KALESH, G.TEJASWI, P.ANIL KUMAR
Keywords:
Face quality, Automatic face recognition, Learning to Rank, Convolution Neural Network
Abstract
Automatic face recognition technology has attracted a great amount of attention from both academia and industry in the recent trends. It is usually possible for practical recognition systems to capture multiple face images from each subject. Selecting face images with high quality for recognition is a promising stratagem for improving the system performance. It was proposed a simple and flexible frame work for face image quality assessment, in which multiple feature fusion and learning to rank are used. The proposed method is simple and can adapt to different recognition methods. To demonstrate the overall effectiveness of the proposed method, it was used heuristic criteria for data selection in experiments.
Article Details
Unique Paper ID: 144108 Publication Volume & Issue: Volume 3, Issue 6 Page(s): 77 - 82
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org