Advances in online handwritten recognition in the last decades
The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …
at an affordable price increase the demand for online handwriting recognition. In this …
Embedded chaotic whale survival algorithm for filter–wrapper feature selection
Classification accuracy provided by a machine learning model depends a lot on the feature
set used in the learning process. Feature selection (FS) is an important and challenging …
set used in the learning process. Feature selection (FS) is an important and challenging …
Feature selection for facial emotion recognition using cosine similarity-based harmony search algorithm
Nowadays, researchers aim to enhance man-to-machine interactions by making
advancements in several domains. Facial emotion recognition (FER) is one such domain in …
advancements in several domains. Facial emotion recognition (FER) is one such domain in …
Bangla-Meitei Mayek scripts handwritten character recognition using convolutional neural network
Recognition of handwritten characters in two Indic scripts Bangla and Meitei Mayek is one of
the challenging responsibilities due to intricate patterns and scarcity of standard datasets …
the challenging responsibilities due to intricate patterns and scarcity of standard datasets …
A two-stage deep feature selection method for online handwritten bangla and devanagari basic character recognition
In this paper, we have proposed a two-stage deep feature selection (FS) approach for the
recognition of online handwritten Bangla and Devanagari basic characters. At the beginning …
recognition of online handwritten Bangla and Devanagari basic characters. At the beginning …
CALText: Contextual attention localization for offline handwritten text
Recognition of Arabic-like scripts such as Persian and Urdu is more challenging than Latin-
based scripts. This is due to the presence of a two-dimensional structure, context-dependent …
based scripts. This is due to the presence of a two-dimensional structure, context-dependent …
A survey of mono-and multi-lingual character recognition using deep and shallow architectures: indic and non-indic scripts
The cultural and regional diversity across the world and specifically in India has given birth
to a large number of writing systems and scripts having a variety of character sets. For scripts …
to a large number of writing systems and scripts having a variety of character sets. For scripts …
Learning morpheme representation for mongolian named entity recognition
Traditional approaches to Mongolian named entity recognition heavily rely on the feature
engineering. Even worse, the complex morphological structure of Mongolian words made …
engineering. Even worse, the complex morphological structure of Mongolian words made …
An adaptive genetic algorithm-based background elimination model for English text
T ** world, machine learning and pattern recognition has
achieved a special level of attention by the academicians and international researchers …
achieved a special level of attention by the academicians and international researchers …