Ancient text recognition: a review
Optical character recognition (OCR) is an important research area in the field of pattern
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …
A GA based hierarchical feature selection approach for handwritten word recognition
Feature selection plays a key role in reducing the dimensionality of a feature vector by
discarding redundant and irrelevant ones. In this paper, a Genetic Algorithm-based …
discarding redundant and irrelevant ones. In this paper, a Genetic Algorithm-based …
Pattern recognition-recognition of handwritten document using convolutional neural networks
M Rajalakshmi, P Saranya… - … Techniques in Control …, 2019 - ieeexplore.ieee.org
Handwritten documents recognition is a challenging task in the field of pattern recognition. It
has an array of applications wherein recognition of words, alphabets, digits and other …
has an array of applications wherein recognition of words, alphabets, digits and other …
[HTML][HTML] An efficient and improved scheme for handwritten digit recognition based on convolutional neural network
Character recognition from handwritten images has received greater attention in research
community of pattern recognition due to vast applications and ambiguity in learning …
community of pattern recognition due to vast applications and ambiguity in learning …
Computational intelligence methodology for the analysis of RC circuit modelled with nonlinear differential order system
In this study, we solve nonlinear initial value problems arising in circuit analysis by applying
bio-inspired computational intelligence technique using feed-forward artificial neural …
bio-inspired computational intelligence technique using feed-forward artificial neural …
Devanagari ancient documents recognition using statistical feature extraction techniques
Devanagari ancient document recognition process is drawing a lot of consideration from
researchers nowadays. These ancient documents contain a wealth of knowledge. However …
researchers nowadays. These ancient documents contain a wealth of knowledge. However …
Hybrid manifold smoothing and label propagation technique for Kannada handwritten character recognition
Handwritten character recognition is one of the classical problems in the field of image
classification. Supervised learning techniques using deep learning models are highly …
classification. Supervised learning techniques using deep learning models are highly …
[PDF][PDF] Off-line handwritten character recognition system using support vector machine
Selection of classifiers and feature extraction methods has a prime role in achieving best
possible classification accuracy in character recognition system. Issues of character …
possible classification accuracy in character recognition system. Issues of character …
Fuzzy-based multi-kernel spherical support vector machine for effective handwritten character recognition
AK Sampath, N Gomathi - Sādhanā, 2017 - Springer
Due to constant advancement of computer tools, automated conversion of images of typed,
handwritten and printed text is important for various applications, which has led to intense …
handwritten and printed text is important for various applications, which has led to intense …
Off-line handwritten numeral recognition using hybrid feature set–a comparative analysis
Handwritten numeral recognition has always been a very challenging task due to many
variations in handwritten numerals with different writing styles. It is an active research area …
variations in handwritten numerals with different writing styles. It is an active research area …