Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Neural network technologies have taken center stage owing to their powerful computing
capability for supporting deep learning in artificial intelligence. However, conventional …

Persistent homology (PH) is a method used in topological data analysis (TDA) to study
qualitative features of data that persist across multiple scales. It is robust to perturbations of …

Character recognition from handwritten images has received greater attention in research
community of pattern recognition due to vast applications and ambiguity in learning …

In general, pneumonia affects children under 5 years and adults over 65 years of age which
targets the lungs and fills the alveoli (air sacs) with liquid. In this paper, we employ …

Automatic text recognition system might serve as an important factor in creating a paperless
environment through digitizing and processing the existing paper documents in the …

Abstract In the Futures Studies context, the Delphi-based scenario (DBS) is a valuable
method for setting future-oriented strategies and actions by gathering expert opinions in …

Due to increased usage of digital technologies in all sectors and in almost all day to day
activities to store and pass information, Handwriting character recognition has become a …

The world is being more and more digitalized with each passing day, making information
security a huge concern. Through efficient fraud detection using a robust approach, the …

Optical Character Recognition is the area of Pattern Recognition that has a topic of studies
over the past some decades. Optical character recognition is technique of automatically …