Advances in online handwritten recognition in the last decades
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 …
at an affordable price increase the demand for online handwriting recognition. In this …
Character and numeral recognition for non-Indic and Indic scripts: a survey
A collection of different scripts is employed in writing languages throughout the world.
Character and numeral recognition of a particular script is a key area in the field of pattern …
Character and numeral recognition of a particular script is a key area in the field of pattern …
Handwritten Gurmukhi character recognition
This paper deals with the offline recognition of handwritten Gurmukhi characters. Here two
sets of features based on gradient and curvature of character image are computed. The …
sets of features based on gradient and curvature of character image are computed. The …
Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: a study
Classification is a process to pull out patterns from a number of classes by using various
statistical properties and artificial intelligence techniques. The problem of classification is …
statistical properties and artificial intelligence techniques. The problem of classification is …
[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 …
Online handwriting recognition systems for Indic and non-Indic scripts: a review
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 …
machine learning. Handwriting recognition has two flavors, namely, Offline Handwriting …
[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 …
Recognition of online handwritten Gurmukhi characters using recurrent neural network classifier
Handwriting recognition is one of the challenging tasks in the area of pattern recognition and
machine learning. This paper presents the recognition of Online handwritten basic …
machine learning. This paper presents the recognition of Online handwritten basic …
Efficient feature extraction techniques for offline handwritten Gurmukhi character recognition
As a result of advances in optical character recognition research, several techniques for
handwritten character recognition have surfaced. These techniques require good quality …
handwritten character recognition have surfaced. These techniques require good quality …
Age, gender and handedness prediction using handwritten text: A comprehensive survey
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 …
pattern recognition and machine learning. This study explores the intriguing field of age …