Arabic online handwriting recognition (aohr) a survey
This article comprehensively surveys Arabic Online Handwriting Recognition (AOHR). We
address the challenges posed by online handwriting recognition, including ligatures, dots …
address the challenges posed by online handwriting recognition, including ligatures, dots …
[HTML][HTML] Online handwritten Gurmukhi word recognition using fine-tuned deep convolutional neural network on offline features
The recognition of online handwriting is a vital application of pattern recognition, which
involves the extraction of spatial and temporal information of handwritten patterns, and …
involves the extraction of spatial and temporal information of handwritten patterns, and …
[PDF][PDF] Handwritten Gurmukhi character recognition using statistical and background directional distribution
In this manuscript handwritten Gurmukhi character recognition for isolated characters is
proposed. We have used some statistical features like zonal density, projection histograms …
proposed. We have used some statistical features like zonal density, projection histograms …
Comparison of HMM-and SVM-based stroke classifiers for Gurmukhi script
With the evolution of touch-based devices, development of handwriting recognition systems
has received attention from many researchers. An online handwriting recognition system for …
has received attention from many researchers. An online handwriting recognition system for …
[PDF][PDF] Support vector machine for handwritten Devanagari numeral recognition
ABSTRACT Support Vector Machines (SVM) is used for classification in pattern recognition
widely. This paper applies this technique for recognizing handwritten numerals of …
widely. This paper applies this technique for recognizing handwritten numerals of …
[PDF][PDF] Use of Gabor Filters for recognition of Handwritten Gurmukhi character
In this manuscript handwritten Gurmukhi character recognition for isolated characters is
proposed. We have used Gabor Filter based method for feature extraction. Our database …
proposed. We have used Gabor Filter based method for feature extraction. Our database …
A dominant points-based feature extraction approach to recognize online handwritten strokes
The computation of features is an integral part of handwriting recognition as identification of
correct features is essential for efficient data representation and benchmarked recognition …
correct features is essential for efficient data representation and benchmarked recognition …
Recognition of online handwritten Gurmukhi characters based on zone and stroke identification
Handwriting recognition is a technique that converts handwritten characters into a machine-
processable format. Handwritten characters can either be presented to machine online or …
processable format. Handwritten characters can either be presented to machine online or …
Online handwritten Gurmukhi strokes dataset based on minimal set of words
The online handwriting data are an integral part of data analysis and classification research,
as collected handwritten data offers many challenges to group handwritten stroke classes …
as collected handwritten data offers many challenges to group handwritten stroke classes …
An efficient writing-zone identification technique for online handwritten Gurmukhi character recognition
Handwriting recognition is a technique that converts handwritten characters into machine
processable format. Handwritten characters can either be presented to machine online or …
processable format. Handwritten characters can either be presented to machine online or …