Jaihie Kim

TL;DR: This special issue includes eight original works that detail the further developments of ELMs in theories, applications, and hardware implementation.

TL;DR: A new age estimation method using a hierarchical classifier method based on both global and local facial features is proposed, which was superior to that of the previous methods when using the BERC, PAL and FG-Net aging databases.

TL;DR: The proposed feature extraction algorithm based on Independent Component Analysis has a similar Equal Error Rate (EER) to a conventional method based on Gabor wavelets and two advantages: first, the size of an iris code and the processing time of the feature extraction are significantly reduced; and second, it is possible to estimate the linear transform for feature extraction from the iris signals themselves.

TL;DR: A new method for eye state classification that combines three innovations: extraction and fusion of features from both eyes, initialization of driver-specific thresholds to account for differences in eye shape and texture, and modeling ofDriver-specific blinking patterns for normal (non-drowsy) driving is proposed.

TL;DR: A new iris segmentation method that can be used to accurately extract iris regions from non-ideal quality iris images and uses a color segmentation technique for detecting obstructions by the ghosting effects of visible light is proposed.