Handwriting recognition is one of the challenging tasks in the area of pattern recognition and
machine learning. Handwriting recognition has two flavors, namely, Offline Handwriting …

Handwriting recognition is widely acknowledged as one of the most challenging tasks in
pattern recognition and machine learning. This study explores the intriguing field of age …

In this paper, we have proposed a two-stage deep feature selection (FS) approach for the
recognition of online handwritten Bangla and Devanagari basic characters. At the beginning …

This paper proposes a neural network based framework to classify online Devanagari
characters into one of 46 characters in the alphabet set. The uniqueness of this work is three …

The proposed approach performs recognition of online handwritten isolated Hindi words
using a combination of HMMs trained on Devanagari symbols and a tree formed by the …

This article presents a set of novel features for robust online Bangla handwritten character
recognition. Two feature extraction methods are presented here. The first describes the …

In this paper, three different feature extraction strategies along with their all possible
combinations have been discussed in detail for the recognition of online handwritten Bangla …

In this paper, an effort has been made to emphasize the usefulness of Hausdorff Distance
(HD) and Directed Hausdorff Distance (DHD) based features for the recognition of online …

This paper inspects the impact of feature vector produced by Frechet Distance (FD) along
with the conventional distance based features to recognize online handwritten Bangla …

This paper deals with stroke-based online Bangla character recognition strategy. In the
present work, constituent strokes have been extracted from characters and then popularly …