AIMC Topic: Handwriting

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Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks.

Computational intelligence and neuroscience Aug 27, 2018
In spite of advances in object recognition technology, handwritten Bangla character recognition (HBCR) remains largely unsolved due to the presence of many ambiguous handwritten characters and excessively cursive Bangla handwritings. Even many advanc...
Humans Image Processing, Computer-Assisted Pattern Recognition, Automated Handwriting Neural Networks, Computer Machine Learning
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Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.

IEEE journal of biomedical and health informatics Aug 23, 2018
Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor symptoms. Particularly, difficulties to start/stop movements have been observed in patients. From a technical/diagnostic point of view, these movement changes can...
Humans Databases, Factual Female Handwriting Gait Gait Analysis Speech ROC Curve Parkinson Disease Signal Processing, Computer-Assisted Image Processing, Computer-Assisted Aged Aged, 80 and over Middle Aged Deep Learning Male
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Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO Memristive Spiking-Neuron.

Scientific reports Aug 22, 2018
Although there is a huge progress in complementary-metal-oxide-semiconductor (CMOS) technology, construction of an artificial neural network using CMOS technology to realize the functionality comparable with that of human cerebral cortex containing 1...
Neurons Brain Humans Semiconductors Models, Neurological Neural Networks, Computer Handwriting
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Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification.

Artificial intelligence in medicine Apr 16, 2018
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is considered a degenerative disorder that affects the motor system, which may cause tremors, micrography, and the freezing of gait. Although PD is related to the lack of dopamine, the triggering pro...
Neural Networks, Computer Deep Learning Parkinson Disease Humans Handwriting Gait Disorders, Neurologic
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Spiking neural networks for handwritten digit recognition-Supervised learning and network optimization.

Neural networks : the official journal of the International Neural Network Society Apr 6, 2018
We demonstrate supervised learning in Spiking Neural Networks (SNNs) for the problem of handwritten digit recognition using the spike triggered Normalized Approximate Descent (NormAD) algorithm. Our network that employs neurons operating at sparse bi...
Handwriting Learning Supervised Machine Learning Pattern Recognition, Automated Memory Neurons Algorithms Databases, Factual Humans Neural Networks, Computer
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An adaptive deep Q-learning strategy for handwritten digit recognition.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2018
Handwritten digits recognition is a challenging problem in recent years. Although many deep learning-based classification algorithms are studied for handwritten digits recognition, the recognition accuracy and running time still need to be further im...
Humans Pattern Recognition, Automated Deep Learning Neural Networks, Computer Handwriting
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Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning.

Cognitive processing Feb 25, 2017
In humans, efficient recognition of written symbols is thought to rely on a hierarchical processing system, where simple features are progressively combined into more abstract, high-level representations. Here, we present a computational model of Per...
Unsupervised Machine Learning Machine Learning Supervised Machine Learning Humans Transfer, Psychology Computer Simulation Handwriting Neural Networks, Computer Learning
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Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers.

PloS one Dec 1, 2016
We present a new approach for handwritten signature classification and verification based on descriptors stemming from time causal information theory. The proposal uses the Shannon entropy, the statistical complexity, and the Fisher information evalu...
Individuality Support Vector Machine Handwriting Humans Software Information Theory Biometry Entropy Pattern Recognition, Automated
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Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification.

Computational intelligence and neuroscience Aug 17, 2016
In recent years, some deep learning methods have been developed and applied to image classification applications, such as convolutional neuron network (CNN) and deep belief network (DBN). However they are suffering from some problems like local minim...
Humans Algorithms Neural Networks, Computer Handwriting Machine Learning
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Regular expressions for decoding of neural network outputs.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2016
This article proposes a convenient tool for decoding the output of neural networks trained by Connectionist Temporal Classification (CTC) for handwritten text recognition. We use regular expressions to describe the complex structures expected in the ...
Probability Information Storage and Retrieval Handwriting Humans Neural Networks, Computer
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