[PDF][PDF] A literature survey on handwritten character recognition
A Purohit, SS Chauhan - International Journal of Computer Science …, 2016 - academia.edu
Handwriting recognition has gained a lot of attention in the field of pattern recognition and
machine learning due to its application in various fields. Optical Character Recognition …
machine learning due to its application in various fields. Optical Character Recognition …
A systematic review on handwritten document analysis and recognition
S Inunganbi - Multimedia Tools and Applications, 2024 - Springer
Abstract Document Analysis and Recognition (DAR) is ongoing research that has been
studied extensively for many decades and it has achieved a substantial level that generates …
studied extensively for many decades and it has achieved a substantial level that generates …
RETRACTED ARTICLE: Effective offline handwritten text recognition model based on a sequence-to-sequence approach with CNN–RNN networks
Automatic text recognition system might serve as an important factor in creating a paperless
environment through digitizing and processing the existing paper documents in the …
environment through digitizing and processing the existing paper documents in the …
Zoning methods for handwritten character recognition: A survey
This paper presents a survey on zoning methods for handwritten character recognition.
Through the analysis of the relevant literature in the field, the most valuable zoning methods …
Through the analysis of the relevant literature in the field, the most valuable zoning methods …
Posterior probability based ensemble strategy using optimizing decision directed acyclic graph for multi-class classification
L Zhou, H Fujita - Information Sciences, 2017 - Elsevier
Ensemble strategy is important to develop a decomposition and ensemble method for multi-
class classification problems. Most existing ensemble strategies use predetermined and …
class classification problems. Most existing ensemble strategies use predetermined and …
A hierarchical classification system for sleep stage scoring via forehead EEG signals
The study adopts the structure of hierarchical classification to develop an automatic sleep
stage classification system using forehead (Fpl and Fp2) EEG signals. The hierarchical …
stage classification system using forehead (Fpl and Fp2) EEG signals. The hierarchical …
Meitei Mayek handwritten dataset: compilation, segmentation, and character recognition
Abstract A peculiar Indian Script Meitei Mayek has experienced a resurgence in the last few
years and gets very little attention in handwriting research due to recently insurgence and …
years and gets very little attention in handwriting research due to recently insurgence and …
Adaptive membership functions for handwritten character recognition by voronoi-based image zoning
In the field of handwritten character recognition, image zoning is a widespread technique for
feature extraction since it is rightly considered to be able to cope with handwritten pattern …
feature extraction since it is rightly considered to be able to cope with handwritten pattern …
A vectorization-optimization-method-based type-2 fuzzy neural network for noisy data classification
GD Wu, PH Huang - IEEE Transactions on Fuzzy Systems, 2012 - ieeexplore.ieee.org
This paper proposes a vectorization-optimization-method (VOM)-based type-2 fuzzy neural
network (VOM2FNN) for noisy data classification. In handling problems with uncertainties …
network (VOM2FNN) for noisy data classification. In handling problems with uncertainties …
Adaptive local fusion with fuzzy integrals
We propose a novel method for fusing different classifiers outputs. Our approach, called
context extraction for local fusion with fuzzy integrals (CELF-FI), is a local approach that …
context extraction for local fusion with fuzzy integrals (CELF-FI), is a local approach that …