A hybrid feature and discriminant classifier for high accuracy handwritten Odia numeral recognition
Unconstrained handwritten character recognition is a major research area where there is a
lot of scope for improving accuracy. There are many statistical, structural feature extraction …
lot of scope for improving accuracy. There are many statistical, structural feature extraction …
Optimization based feature generation for handwritten odia-numeral recognition
Unconstrained handwritten character recognition is one of the major challenges in Optical
Character Recognition (OCR) application. Many statistical, structural and geometric features …
Character Recognition (OCR) application. Many statistical, structural and geometric features …
On extraction of features for handwritten Odia numeral recognition in transformed domain
Recognition of handwritten scripts has always been a challenging task before the character
recognition community. The difficulty lies in the fact that different individuals have different …
recognition community. The difficulty lies in the fact that different individuals have different …
Off-line Odia handwritten numeral recognition using neural network: a comparative analysis
Character recognition is one of the most interesting and challenging research areas in the
field of image processing. The recognition rate of handwritten character is still limited due to …
field of image processing. The recognition rate of handwritten character is still limited due to …
Symmetric axis based off-line Odia handwritten character and numeral recognition
Automation of handwritten character recognition is one of the challenging tasks in the
problem domain of document analysis. However various writing style in orientation, shape …
problem domain of document analysis. However various writing style in orientation, shape …
Zone centroid distance and standard deviation based feature matrix for odia handwritten character recognition
D Padhi, D Senapati - Proceedings of the international conference on …, 2013 - Springer
Optical character recognition (OCR) is a type of document image analysis where scanned
digital image that contains either machine printed or handwritten script input into an OCR …
digital image that contains either machine printed or handwritten script input into an OCR …
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 …
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 …
[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 …
An efficient approach for handwritten devanagari character recognition based on artificial neural network
N Singh - 2018 5th international conference on signal …, 2018 - ieeexplore.ieee.org
Hindi is the common and most popular language in the countries such as India, Nepal etc.
People use this language not only for conversation but also in their vehicles license plates …
People use this language not only for conversation but also in their vehicles license plates …