[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 …
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 …
[PDF][PDF] Off-line Odia handwritten character recognition: an axis constellation model based research
Handwritten Character Recognition is most challenging area of research, in which for
various aspects a little enhancement can be always achieved. It is due to the irregularity of …
various aspects a little enhancement can be always achieved. It is due to the irregularity of …
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 …
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 …
[PDF][PDF] Features fusion based approach for handwritten Gujarati character recognition
Handwritten character recognition is a challenging area of research. Lots of research
activities in the area of character recognition are already done for Indian languages such as …
activities in the area of character recognition are already done for Indian languages such as …
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 …
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 …
Gujarati handwritten numeral recognition through fusion of features and machine learning techniques
Languages have played a major role in Indian history and they continue to influence the
lives of Indians till date. Plentiful research on optical character recognition (OCR) techniques …
lives of Indians till date. Plentiful research on optical character recognition (OCR) techniques …