Analyze the effectiveness of an algorithm for identifying Polish characters in handwriting based on neural machine learning technologies
An approach is presented that generalize OCR task including polish letters using deep learning technique. The paper extends EMNIST dataset so that two new classes of polish diacritics “Ą” and “Ć” are attached. Using this new dataset and deep learning technique one can analyze sensitives of standard...
Enregistré dans:
Auteurs principaux: | Dawid Grzelak, Krzysztof Podlaski, Grzegorz Wiatrowski |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Elsevier
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/79e05652511b4c94aba610f87645420d |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Automatic Detection of Traffic Accidents from Video Using Deep Learning Techniques
par: Sergio Robles-Serrano, et autres
Publié: (2021) -
CapPlant: a capsule network based framework for plant disease classification
par: Omar Bin Samin, et autres
Publié: (2021) -
Research Progress of Deep Learning in Retinal Vessel Segmentation
par: LI Lanlan1, ZHANG Xiaohui1, NIU Decao3, HU Yihuang1, ZHAO Tiesong1, WANG Dabiao2+
Publié: (2021) -
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
par: Ahmed Bahaa Farid, et autres
Publié: (2021) -
Robust feature space separation for deep convolutional neural network training
par: Ali Sekmen, et autres
Publié: (2021)