Improvement Analysis of Hand Written Digit Recognition using Convolutional Neural Network by Varying Values of CNN ParametersGupta, AkankshaNarwaria, Ravindra PratapSingh, MadhavGrenze International Journal of Engineering & Technology (GIJET)
Optical character recognition is a method by which the computer is made to learn, understand and interpret the languages used and written by the human beings. It provides us a whole new way by which computer can interact with human beings, in their own languages. Hence OCR has been a topic...
Hand Written Digit Identifier A Django web app to identify hand written Digit using machine learning model and trained over MNIST handwritten digit training dataset and has an accuraccy of more than 98%. It is implemented using two differnet algorithm ANN and CNN ANN Model Accuracy - 97.6 % Im...
Hand Written Digit Identifier A Django web app to identify hand written Digit using machine learning model and trained over MNIST handwritten digit training dataset and has an accuraccy of more than 98%. It is implemented using two differnet algorithm ANN and CNN ANN Model Accuracy - 97.6 % Im...
Air-writing recognition is a particular case of gesture recognition in which gestures can be matched to write characters and digits in the air. Air-written characters show extensive variations depending on the various writing styles of participants and their speed of articulation, which presents quite...
Written informed consent was waived for this study due to the reason that we use the public and free Oxford Hand Dataset. The human faces in the figures are all from the public datasets. Data Availability Statement Oxford Hand Dataset (https://www.robots.ox.ac.uk/~vgg/data/hands/ (accesse...
and security and surveillance. This work presents the design and implementation of a complete end-to-end deep learning based edge computing system that can verify a user contactlessly using ‘authentication code’. The ‘authentication code’ is an ‘n’ digit numeric code and the digits are ha...
Air-writing recognition is a particular case of gesture recognition in which gestures can be matched to write characters and digits in the air. Air-written characters show extensive variations depending on the various writing styles of participants and their speed of articulation, which presents quite...
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Deep multi-scale 3D convolutional neural network (CNN) for MRI gliomas brain tumor classification. J. Digit. Imaging 2020, 33, 903–915. [Google Scholar] [CrossRef] Maqsood, S.; Damasevicius, R.; Shah, F.M. An efficient approach for the detection of brain tumor using fuzzy logic and ...