Biometrics, an integral component of Identity Science, is widely used in several large-scale- county-wide projects to provide a meaningful way of recognizing individuals. Among existing …
In this article we gave an overview of vision-based measurement (VBM), its various components, and uncertainty in the correct IM (instrumentation and measurement) …
Traditional mobile login methods, like numerical or graphical passwords, are vulnerable to passive attacks. It is common for intruders to gain access to personal information of their …
C Zhan, X Duan, S Xu, Z Song… - … conference on image and …, 2007 - ieeexplore.ieee.org
Moving object detection is very important in intelligent surveillance. In this paper, an improved algorithm based on frame difference and edge detection is presented for moving …
Yawning detection has a variety of important applications in a driver fatigue detection, well- being assessment of humans, driving behavior monitoring, operator attentiveness detection …
With the rapid advancements of the internet of things (IoT), several applications have evolved with completely dissimilar structures and requirements. However, the fifth …
B Hou, R Yan - IEEE Transactions on Instrumentation and …, 2019 - ieeexplore.ieee.org
This paper presents a novel deep learning-based method that integrates a Convolutional Auto-Encoder (CAE) with support vector machine (SVM) for finger-vein verification. The CAE …
In this chapter, we address the problem of biometric identity recognition from the vasculature of the human sclera. Specifically, we focus on the challenging task of multi-view sclera …
Research on human eye image processing and iris recognition has grown steadily over the last few decades. It is important for researchers interested in this discipline to know the …