[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 …
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 …
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 …
Recognition of handwritten numerals of various Indian regional languages using deep learning
S Chaurasia, S Agarwal - 2018 5th IEEE Uttar Pradesh Section …, 2018 - ieeexplore.ieee.org
Handwritten numeral recognition is an interesting area of research in the field of computer
vision and pattern recognition. It plays an important role in postal automation services …
vision and pattern recognition. It plays an important role in postal automation services …
A deep convolutional neural network-based approach for handwritten recognition system
Handwritten recognition model characters have been reported by various researchers in
past years and it becomes the most challenging day by day in this age of the digital world …
past years and it becomes the most challenging day by day in this age of the digital world …
Development of a benchmark odia handwritten character database for an efficient offline handwritten character recognition with a chronological survey
R Dey, RC Balabantaray - ACM Transactions on Asian and Low …, 2023 - dl.acm.org
A good benchmark dataset is a primary requirement in the offline handwritten character
recognition (HCR) process. Only three handwritten numerals and alphabet datasets from …
recognition (HCR) process. Only three handwritten numerals and alphabet datasets from …
Discrete cosine transformation based approach for offline handwritten character and numeral recognition
Abstract Handwritten Character Recognition (HCR) of Indic scripts is one of the most
challenging as compared other scripts. Recognition of handwritten character is more difficult …
challenging as compared other scripts. Recognition of handwritten character is more difficult …
[PDF][PDF] Optical character recognition of odia handwritten scripts and numerals: a survey on web based utility application
Recognition system to various scripts was very much challenging and fascinating in this
digital world. This character recognition has vast number of application in the current …
digital world. This character recognition has vast number of application in the current …
Offline handwritten character and numeral recognition: A kernel-based approach
Abstract Automatic Character Recognition for the handwritten Indic script has listed up as
most the challenging area for research in the field of pattern recognition. Although a great …
most the challenging area for research in the field of pattern recognition. Although a great …