3rd International Conference On Advanced Engineering,
Technology & Applications
24-May-2024 to 25-May-2024
University Of Catania, Italy
Our Research Published In SENSORS
In our work, we review the fundamental concepts of hyperspectral imaging and discuss various techniques for data acquisition. We also examine state-of-the-art approaches to preprocessing, feature extraction, and classification of hyperspectral data, taking into consideration the complexities associated with document images. Furthermore, we explore the potential of utilizing hyperspectral imaging to address critical challenges in document analysis. These challenges include document forgery detection, ink age estimation, and text extraction from degraded or damaged documents.
MITACS Globlink Research Awards
Two Students from National University of Science and Technology (NUST) joining Image Analysis & Pattern Identification Research Lab on MITACS Globlink Research Awards.
Research Published in IEEE Access
Hyperspectral Imaging (HSI) uses large portions of the electromagnetic spectrum to obtain information from images that would be very difficult to get otherwise. An important task in forensic analysis of documents is to extract signatures for authentication. Signatures in documents often overlap with other parts of a document such as typed text or stamps, and hence it is difficult to retrieve them. In this work, we present a novel algorithm for recovering signatures from hyperspectral images of documents where signatures overlap typed text, seals, stamps, or other images.