Fleurs: Few-shot learning evaluation of universal representations of speech
We introduce FLEURS, the Few-shot Learning Evaluation of Universal Representations of
Speech benchmark. FLEURS is an n-way parallel speech dataset in 102 languages built on …
Speech benchmark. FLEURS is an n-way parallel speech dataset in 102 languages built on …
A time efficient offline handwritten character recognition using convolutional extreme learning machine
ABSTRACT The Extreme Learning Machine (ELM) has sparked a lot of attention since it can
learn fast and be applied to various problems. In this study, a convolutional layer-based …
learn fast and be applied to various problems. In this study, a convolutional layer-based …
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 …
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 …
4 A comparative analysis of machine learning techniques for Odia character recognition
Character recognition is a challenging area in Machine Learning, Pattern Recognition or
Image Processing. The accuracy to recognize handwritten character by human is far better …
Image Processing. The accuracy to recognize handwritten character by human is far better …
Recognition of handwritten characters from Devanagari, Bangla, and Odia languages using transfer-learning-based VGG-16 networks
Despite promising results in character recognition techniques, research on handwritten
characters from Indian regional scripts is still limited. In fact, most character recognizers in …
characters from Indian regional scripts is still limited. In fact, most character recognizers in …
An ensemble method of feature selection and classification of Odia characters
Offline Handwritten Character Recognition of Odia scripts have drawn remarkable attention
by researchers. In the area of Pattern recognition, most challenging task is to classify and …
by researchers. In the area of Pattern recognition, most challenging task is to classify and …
Complex odia handwritten character recognition using deep learning model
One of the ongoing uses of offline OCR is the identification of Odia character pictures. Here,
an effort has been made to create a useful feature extraction method that will aid in …
an effort has been made to create a useful feature extraction method that will aid in …
Ranjana script handwritten character recognition using CNN
J Bati, PR Dawadi - JOIV: International Journal on Informatics Visualization, 2023 - joiv.org
This paper proposes a public image database for Ranjana script Handwritten Character
Datasets (RHCD), publicly available for Ranjana script researchers or anyone interested in …
Datasets (RHCD), publicly available for Ranjana script researchers or anyone interested in …
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 …