Client wanted to develop OCR which can recognize handwritten text with high accuracy. As handwritten text are not standard and uniform, client wanted to have deep learning framework for OCR to recognize characters.
CNN Layers library design and implementation.
Dataset Collection and generation.
Design and Implementation of CNN Net.
Training and Testing of CNN model.
CNN trained model generation.
Product Features Developed/Supported by Acclivis
The application performs handwritten digit and English character recognition using deep learning CNN network and model in Matlab.
CNN model is generated/trained with given NET architecture using 60K handwritten digits and English characters.
Language | Matlab.
Platform | Intel CORE I3 without GPU.
DL Network Layers | Layer Network.
Classifier | SoftMax.
Acclivis successfully delivered deep learning based OCR which could be integrated in client’s existing framework.