The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …

Identifying and verifying a person based on scanned images of their handwriting is a needful
biometric application in historical document analysis, behavioural biometrics study, forensic …

In India, which has numerous officially recognized scripts, there is a primary need for
categorizing the documents on the basis of the scripts used therein. Identification of script …

In the present work, a typical Convolutional Neural Network (CNN) architecture has been
used for the recognition of online handwritten isolated Bangla characters. A detailed …

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 …

Feature selection through optimization techniques provides an interesting approach to
minimize computational time with enhanced prediction capability, and has better cognizance …

With the widespread use of convolutional neural networks (CNNs) for image analysis and
retrieval, it has become increasingly important to efficiently index and search the large …

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 …

Convolutional neural networks (CNN) have demonstrated their effectiveness in extracting
discriminative features from images, allowing for accurate image recognition and …

In the present experiment, we have investigated the effectiveness of two handcrafted feature
extraction techniques for the recognition of constituent strokes of online handwritten Bangla …