OCR systems based on neural network

Citation data:

Annals of DAAAM and Proceedings of the International DAAAM Symposium, ISSN: 1726-9679, Page: 555-556

Publication Year:
2011
Usage 156
Abstract Views 156
Repository URL:
http://publikace.k.utb.cz/handle/10563/1005174; http://hdl.handle.net/10563/1005174
Author(s):
Pálka, Jan; Pálka, Jiří
Publisher(s):
Danube Adria Association for Automation and Manufacturing, DAAAM
Tags:
Computer Science; Engineering; Hand-written text; MNIST; Neural network; OCR; Recognition
conference paper description
This paper deals with the recognition of handwritten text. It is mainly discussing improving nowadays OCR systems. In detail is this article focused on the possibilities of implementing the neocognitron network in this improvement. Next part deals with the problems of document processing, recognition of individual characters and subsequent search for whole words against the dictionary. Main goal of this work is to invent new principles in the field of processing hand written text especially focused on text with language specifics like diacritics.