ARDIS: a Swedish historical handwritten digit dataset
This paper introduces a new image-based handwritten historical digit dataset named Arkiv
Digital Sweden (ARDIS). The images in ARDIS dataset are extracted from 15,000 Swedish …
Digital Sweden (ARDIS). The images in ARDIS dataset are extracted from 15,000 Swedish …
Recognition of handwritten digits using DNN, CNN, and RNN
S Jain, R Chauhan - Advances in Computing and Data Sciences: Second …, 2018 - Springer
Deep learning is the domain of machine learning that implements deep neural architectures,
with multiple hidden layers to mimic the functions of the human brain. The network learns …
with multiple hidden layers to mimic the functions of the human brain. The network learns …
[PDF][PDF] A survey on using neural network based algorithms for hand written digit recognition
The detection and recognition of handwritten content is the process of converting non-
intelligent information such as images into machine edit-able text. This research domain has …
intelligent information such as images into machine edit-able text. This research domain has …
Image pattern classification using MFCC and HMM
Z Shah, M Kim, GJ Jang - 2018 IEEE International Conference …, 2018 - ieeexplore.ieee.org
We propose a novel method for recognizing temporally or spatially varying patterns using
MFCC (mel-frequency ceptral coefficient) and HMM (hidden Markov model). MFCC and …
MFCC (mel-frequency ceptral coefficient) and HMM (hidden Markov model). MFCC and …
CCE: an approach to improve the accuracy in ensembles by using diverse base learners
MP Sesmero, JM Alonso-Weber, G Gutierrez… - … Intelligence Systems: 9th …, 2014 - Springer
Building ensembles with good performance depends highly on the precision and on the
diversity of the base learners that compose them. However, achieving base learners that are …
diversity of the base learners that compose them. However, achieving base learners that are …
A Convolution Neural Network Model to Classify Handwritten Digits from Skeletons
VR Naramala - Congress on Smart Computing Technologies, 2022 - Springer
Offline handwritten digit recognition has remained a widespread area for researchers from
many decades in domains as diverse as pattern recognition, artificial intelligence, and …
many decades in domains as diverse as pattern recognition, artificial intelligence, and …