An empirical evaluation of extreme learning machine: application to handwritten character recognition
Extreme learning machine (ELM), a randomized learning paradigm for single hidden layer
feed-forward network, has gained significant attention for solving problems in diverse …
feed-forward network, has gained significant attention for solving problems in diverse …
[PDF][PDF] A hybrid system for handwritten character recognition with high robustness
Accepted: 20 March 2022 In the past few decades, the offline recognition of handwritten
Indic scripts has received much attention of researchers. Although an intensive research has …
Indic scripts has received much attention of researchers. Although an intensive research has …
A time efficient offline handwritten character recognition using convolutional extreme learning machine
ABSTRACT The Extreme Learning Machine (ELM) has sparked a lot of attention since it can
learn fast and be applied to various problems. In this study, a convolutional layer-based …
learn fast and be applied to various problems. In this study, a convolutional layer-based …
Offline Odia handwritten character recognition with a focus on compound characters
R Dey, RC Balabantaray, S Mohanty - Multimedia Tools and Applications, 2022 - Springer
Recognition of Odia character images is one of the ongoing applications of offline OCR. An
attempt has been made here to develop an efficient feature extraction procedure that can …
attempt has been made here to develop an efficient feature extraction procedure that can …
MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition
In recent years, the non-handcrafted feature extraction methods have gained increasing
popularity for solving pattern classification tasks due to their inherent ability to extract robust …
popularity for solving pattern classification tasks due to their inherent ability to extract robust …
R-HOG feature-based off-line Odia handwritten character recognition
Offline handwritten recognition system for Odia characters has received attention in the last
few years. Although the recent research showed that there has been lots of work reported in …
few years. Although the recent research showed that there has been lots of work reported in …
Deep learning based models for offline Gurmukhi handwritten character and numeral recognition
Over the last few years, several researchers have worked on handwritten character
recognition and have proposed various techniques to improve the performance of Indic and …
recognition and have proposed various techniques to improve the performance of Indic and …
Offline handwritten numeral recognition using convolution neural network
In this current digital age of world, character recognition (CR) has been done through
various machine learning algorithms. And it considered to be one the most challenging …
various machine learning algorithms. And it considered to be one the most challenging …
Gray-level co-occurrence matrix and random forest based off-line Odia handwritten character recognition
Background: In the past decades, handwritten character recognition has received
considerable attention from researchers across the globe because of its wide range of …
considerable attention from researchers across the globe because of its wide range of …
Face recognition based automated recognition system
In this digital time, face recognition system is one the challenging area of pattern recognition.
Face recognition has wide scope for security, verification, recognizable proof, and has got …
Face recognition has wide scope for security, verification, recognizable proof, and has got …