Objectives: The Recent COVID 19 Pandemic has capped the efficacy of mostly used existing touch-based fingerprint detection. Hence, main objective this study is to develop a lightweight, robust and efficient touchless identification model. To cope up with environment demands, an emphasis made on improvement in local conditions, feature modalities as well learning environment. Methods: Considerin...

The paper presents a novel approach for extracting structural features from segmented cursive handwriting. The proposed approach is based on the contour code and stroke direction. The contour code feature utilises the rate of change of slope along the contour profile in addition to other properties such as the ascender and descender count, start point and end point. The direction feature identi...

Smart structural health monitoring (SHM) for large-scale infrastructure is an intriguing subject engineering communities thanks to its significant advantages such as timely damage detection, optimal maintenance strategy, and reduced resource requirement. Yet, it a challenging topic requires handling large amount of collected sensors data continuously, which inevitably contaminated by random noi...