Fingerprint phenotyping for ethnicity classification: A generative deep learning perspective

Abstract

In recent years, deep learning techniques have already been impacting wide range of information processing, pattern recognition, image processing and computer vision related works within the traditional and widened scopes. Hence, this research explored a generative deep architecture approach to better engage soft and hard biometric features for identification and classification of individual persons into their respective ethnic divides.