Latest Publications
Forgery Detection in Hyperspectral Document Images using Graph Orthogonal Nonnegative Matrix Factorization
The analysis of inks plays a crucial role in the examination process of questioned documents. To address this issue, we propose a new approach for ink mismatch detection in Hyperspectral […]
Feature learning for footnote-based document image classification
Classifying document images is a challenging problem that is confronted by many obstacles; specifically, the pivotal need of hand-designed features and the scarcity of labeled data. In this paper, a new approach for classifying document […]
Unsupervised exemplar-based learning for improved document image classification
Many recent state-of-the-art approaches for document image classification are based on supervised feature learning that requires a large amount of labeled training data. In real-world problem of document image classification, the available amount of labeled data is limited and scarce […]
