Now showing items 1-2 of 2
Soft Biometrics Estimation Using Shearlet and Waveatom Transforms With Three Different Classifiers
(Institute of Electrical and Electronics Engineers (IEEE), 2019-03)
The goal is to find the best feature extraction, which performs the smallest feature vector length and gives the highest performance. In this paper, we proposed a methodology to extract effective features from facial images ...
Deep Learning HMM Versus Multi-resolution transforms for Soft biometric estimation
(UDIMA Universidad a Distancia de Madrid, 2018-10-01)
This work is to introduce two different methodologies to estimate the soft biometric traits from face image. The first proposed methodology to extract effective features from facial images using two multi-resolution ...