Hybrid manifold smoothing and label propagation technique for Kannada handwritten character recognition
Handwritten character recognition is one of the classical problems in the field of image
classification. Supervised learning techniques using deep learning models are highly …
classification. Supervised learning techniques using deep learning models are highly …
Recognition of Kannada handwritten words using SVM classifier with convolutional neural network
In an area of handwriting recognition, many algorithms for recognition are proposed for
Indian document images of Latin and Devanagari scripts. These documents generally lack …
Indian document images of Latin and Devanagari scripts. These documents generally lack …
An efficient translation of Tulu to Kannada south Indian scripts using optical character recognition
I Manimozhi - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
Tulu script is not used to write the Tulu language, as it uses the Kannada script for
documentation. As Tulu is not an official language of Karnataka, most people are unaware of …
documentation. As Tulu is not an official language of Karnataka, most people are unaware of …
Dataset building for handwritten Kannada vowels using unsupervised and supervised learning methods
In the era of automation, recognition of the Kannada handwritten characters is an inevitable
task as it has widespread applications in the digitization of documents in government offices …
task as it has widespread applications in the digitization of documents in government offices …
Image-Based Dragonfly Classification Using Capsule Networks
ABP Prabhu, O Misra, R Dani - Computer Science Engineering …, 2024 - taylorfrancis.com
Deep learning plays a virtuoso role in automated image classification and identification
systems. A powerful technique called Capsule Neural networks is known for its high …
systems. A powerful technique called Capsule Neural networks is known for its high …
Improving Recognition of Handwritten Kannada Characters Using Mixup Regularization
Recognition of handwritten characters is essential for the digitization of old and degraded
documents. The recognition of handwritten characters differs from its printed counterpart in …
documents. The recognition of handwritten characters differs from its printed counterpart in …
Hybrid Classifier-Based for Offline HandwrittenKannada Digit Recognition
G Ramesh, PN Sharada, B Padmavathy - NeuroQuantology, 2022 - search.proquest.com
The field of pattern recognition has many applications, and handwritten digit recognition is
one of them. Sorting postal mail, processing bank checks, data entry forms, and other tasks …
one of them. Sorting postal mail, processing bank checks, data entry forms, and other tasks …
Survey on Handwritten Characters Recognition in Deep Learning
M Malini, KS Hemanth - International Conference on Ubiquitous …, 2021 - Springer
Handwritten characters in a document are used in every part of life. The document is a proof
of communication and need to restore digitally. Digital format of the handwritten document …
of communication and need to restore digitally. Digital format of the handwritten document …