The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

The rapid growth of digital libraries, e-governance, and internet based applications has
caused an exponential escalation in the volume of 'Big-data'particularly due to texts, images …

The robustness of a typical Handwritten character recognition system relies on the
availability of comprehensive supervised data samples. There has been considerable work …

Segmentation of handwritten words into isolated characters and their recognition are
challenging due to the presence of high variability and cursiveness in Indian scripts. The …

Recognition of Odia character images is one of the ongoing applications of offline OCR. An
attempt has been made here to develop an efficient feature extraction procedure that can …

Abstract Optical Character Recognition (OCR) is the most successful application for
automatic pattern recognition. OCR has been a widely studied field of research and …

Handwritten Character Recognition is most challenging area of research, in which for
various aspects a little enhancement can be always achieved. It is due to the irregularity of …

ABSTRACT The Extreme Learning Machine (ELM) has sparked a lot of attention since it can
learn fast and be applied to various problems. In this study, a convolutional layer-based …

Background: In the past decades, handwritten character recognition has received
considerable attention from researchers across the globe because of its wide range of …

Segmentation is an important step for developing any optical character recognition (OCR)
system, which has to be redesigned for each script having, non-uniform nature/property. It is …