BOSCH WFW91250 USER MANUAL

This document describes a neural network-based optical character recognition algorithm that can be used to recognize handwritten characters in optical character recognition (OCR) systems. The algorithm uses a convolutional neural network (CNN) to recognize handwritten characters. CNNs are deep learning models that can be used to process data that has a large spatial structure, such as images. CNNs use convolutional layers to extract spatial features from images. These features are then passed to fully connected layers, which are used to identify handwritten characters. The algorithm has been evaluated on public datasets and has shown performance that is comparable to other OCR algorithms.

Brand: BOSCH

File format: PDF

Size: 1864 KB

MD5 Checksum: FBF207B408BE51CBE8FB9F435D27437A

Publication date: 04 June, 2012

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