AIMC Topic: Handwriting

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Machine-Learning Assisted Handwriting Recognition Using Graphene Oxide-Based Hydrogel.

ACS applied materials & interfaces Nov 23, 2022
Machine-learning assisted handwriting recognition is crucial for development of next-generation biometric technologies. However, most of the currently reported handwriting recognition systems are lacking in flexible sensing and machine learning capab...
Humans Hydrogels Handwriting Robotics Machine Learning
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A Smart Pen Based on Triboelectric Effects for Handwriting Pattern Tracking and Biometric Identification.

ACS applied materials & interfaces Oct 18, 2022
The rapid development of artificial intelligence places high demands on human-machine interfaces. Various types of huma-machine interfaces have been implemented, including smart keyboards, electronic skins, and wearable motion sensors. Handwriting be...
Humans Handwriting Artificial Intelligence Motion Biometric Identification
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Deep-Learning-Based Character Recognition from Handwriting Motion Data Captured Using IMU and Force Sensors.

Sensors (Basel, Switzerland) Oct 15, 2022
Digitizing handwriting is mostly performed using either image-based methods, such as optical character recognition, or utilizing two or more devices, such as a special stylus and a smart pad. The high-cost nature of this approach necessitates a cheap...
Neural Networks, Computer Deep Learning Humans Handwriting Motion Plastics
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Kurdish Handwritten character recognition using deep learning techniques.

Gene expression patterns : GEP Oct 3, 2022
Handwriting recognition is regarded as a dynamic and inspiring topic in the exploration of pattern recognition and image processing. It has many applications including a blind reading aid, computerized reading, and processing for paper documents, mak...
Handwriting Pattern Recognition, Automated Deep Learning Algorithms Neural Networks, Computer
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Dysgraphia disorder forecasting and classification technique using intelligent deep learning approaches.

Progress in neuro-psychopharmacology & biological psychiatry Sep 28, 2022
Writing abilities are impacted by dysgraphia, a condition of learning disability. It might be challenging to diagnose dysgraphia at an initial point of a child's upbringing. Problematic abilities linked to Dysgraphia difficulties that is utilized in ...
Learning Disabilities Child Deep Learning Agraphia Handwriting Humans Machine Learning
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Measuring Human Perception to Improve Handwritten Document Transcription.

IEEE transactions on pattern analysis and machine intelligence Sep 14, 2022
In this paper, we consider how to incorporate psychophysical measurements of human visual perception into the loss function of a deep neural network being trained for a recognition task, under the assumption that such information can reduce errors. A...
Algorithms Handwriting Perception Humans Neural Networks, Computer
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Leveraging ShuffleNet transfer learning to enhance handwritten character recognition.

Gene expression patterns : GEP Jul 16, 2022
Handwritten character recognition has continually been a fascinating field of study in pattern recognition due to its numerous real-life applications, such as the reading tools for blind people and the reading tools for handwritten bank cheques. Ther...
Machine Learning Pattern Recognition, Automated Algorithms Handwriting Humans Neural Networks, Computer
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A Machine Learning and Deep Learning Approach for Recognizing Handwritten Digits.

Computational intelligence and neuroscience Jul 15, 2022
Optical character recognition (OCR) can be a subcategory of graphic design that involves extracting text from images or scanned documents. We have chosen to make unique handwritten digits available on the Modified National Institute of Standards and ...
Deep Learning Neural Networks, Computer Machine Learning Handwriting Algorithms
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Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application.

Scientific reports Apr 15, 2022
Deep learning has recently been utilized with great success in a large number of diverse application domains, such as visual and face recognition, natural language processing, speech recognition, and handwriting identification. Convolutional neural n...
Handwriting Humans Brain Neoplasms Magnetic Resonance Imaging Algorithms Neural Networks, Computer
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Visualization of Customized Convolutional Neural Network for Natural Language Recognition.

Sensors (Basel, Switzerland) Apr 8, 2022
For analytical approach-based word recognition techniques, the task of segmenting the word into individual characters is a big challenge, specifically for cursive handwriting. For this, a holistic approach can be a better option, wherein the entire w...
Neural Networks, Computer Handwriting Language
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