A review of biometric technology along with trends and prospects

By J. Unar, Woo Chaw Seng, Almas Abbasi. Pattern Recognition, 2014

410 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/913961d716a4102d3428224f999295f12438399f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Prasant Mohapatra
2. Parth H. Pathak
3. Yunze Zeng
4. Yuanying Chen

Citations in the corpus

• Computer Vision and Image Understanding Computer Vision for Assistive Technologies (neutral): “The traditional authentication modalities involving computer vision are based on hand, facial or ocular image recognition ( Unar et al., 2014 ).”
• WiWho: WiFi-Based Person Identification in Smart Spaces (2016, background): “Unar et al. [4] did a comprehensive survey about all possible biometrics which can be used for person identification.”