Feature selection is a real-world problem that finds a minimal feature subset from an original
feature set. A good feature selection method, in addition to selecting the most relevant …

Recognition of human actions from visual contents is a budding field of computer vision and
image understanding. The problem with such a recognition system is the huge dimensions …

In this work, a novel deep learning technique for the recognition of handwritten Bangla
isolated compound character is presented and a new benchmarkof recognition accuracy on …

Feature selection methods are used to identify and remove irrelevant and redundant
attributes from the original feature vector that do not have much contribution to enhance the …

Identifying the most informative local regions of a handwritten character image is necessary
for a robust handwritten character recognition system. But identifying them from a character …

In this paper, we present an OCR for handwritten Devnagari characters. Basic symbols are
recognized by neural classifier. We have used four feature extraction techniques namely …

Classification methods based on learning from examples have been widely applied to
character recognition from the 1990s and have brought forth significant improvements of …

A novel hierarchical approach is presented here for optical character recognition (OCR) of
handwritten Bangla words. Instead of dealing with isolated characters as found in selected …

Recent developments in sarcasm detection have been emerged as extremely successful
tools in Social media opinion mining. With the advent of machine learning tools, accurate …

Featured Application Optical Character Recognition for Handwritten Bengali Numerals,
Basic and Compound Characters. Abstract As it is the seventh most-spoken language and …