Segmentation of text from badly degraded document images is a very challenging task due to the high inter/intravariation between the document background and the foreground text of different document images. In this paper, we propose a novel document image binarization technique that addresses these issues by using adaptive image contrast. The adaptive image contrast is a combination of the loca...

This article summarises the work being undertaken by the World Health Organisation Pacific Islands Mental Health Network (PIMHnet) since its inception in 2006. The article also outlines the mental health issues that present particular challenges in the Pacific region, and the innovative approaches that have been taken to address those issues, with the goal of improving mental health throughout ...

Document image binarization is a vital pre-processing technique for document image analysis that segments text from badly degraded document images. In this paper, we propose a robust document image binarization technique that is based on the concept of adaptive image contrast. The adaptive image contrast which is formed by combining local image contrast and the local image gradient makes it tol...

Keywords can be used as attributes for mining rules or a basis measuring the similarity of new (unclassified) documents with existing (classified) ones. The focus is on problem extracting keywords from document collection in order to use them classification. Document classification hot topic machine learning. Typical approaches extract “features,” generally words, document, and feature vectors ...

Document classification is an important task in data mining. Currently, identifying category (i.e., topic) of a scientific publication is a manual task. The Association for Computing Machinery Computing Classification System (ACM CCS) is most wildly used multi-level taxonomy for scientific document classification. Correct classification becomes difficult with an increase in number of levels as ...

In this work, we present a modified feature formation technique gradedweighted Bag of Word Vectors (gwBoWV) by (Vivek Gupta, 2016) for faster and better composite document feature representation. We propose a very simple feature construction algorithm that potentially overcomes many weaknesses in current distributional vector representations and other composite document representation methods w...