Document image enhancement methods are often used to improve the accuracy and
efficiency of automated document analysis and recognition tasks such as character …

Contemporary datasets are often comprised of multiple views of data, which provide
complete and complementary information in different views, and multi-view clustering is one …

Slope and slant correction of offline handwritten word images are two of the major pre-
processing steps in document image processing, because these reduce the variations in …

Binarization of document images still attracts the researchers especially when degraded
document images are considered. This is evident from the recent Document Image …

Outlier detection is an important research area in the field of machine learning and data
science. The presence of outliers in a dataset limits its true usefulness in a real-life scenario …

Circuit diagram is the very foundation of electrical and electronic sciences. A circuit diagram
consists of various symbols called circuit components that specify the functionality of that …

Document image binarization is the process in which pixels in a document image are
classified into two groups—foreground and background. This process becomes challenging …

With a wide variety of forms being generated in different organizations daily, efficient and
quick retrieval of information from these forms becomes a pressing need. The data on these …

Background An important part of water quality control is waterborne pathogen detection.
Conventional microorganism detections are done by costly and complicated biochemical …

Handwritten words can never complement printed words because the former are mostly
written in either skewed or slanted form or in both. This very nature of handwriting adds a …