Development of layout analysis system for  historic scholar publications

Bakay, Olha

Домівка
→
Students Research & Project Works | Роботи студентів
→
Факультет прикладних наук
→
Бакалаврська програма "Комп'ютерні науки"
→
2019
→
Перегляд матеріалів

dc.contributor.author	Bakay, Olha
dc.date.accessioned	2024-02-14T15:47:41Z
dc.date.available	2024-02-14T15:47:41Z
dc.date.issued	2019
dc.identifier.citation	Bakay, Olha. Development of layout analysis system for historic scholar publications / Bakay, Olha; Supervisor: Olesya Mryglod, Oles Dobosevych; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2019. – 43 p.	uk
dc.identifier.uri	https://er.ucu.edu.ua/handle/1/4474
dc.language.iso	en	uk
dc.title	Development of layout analysis system for historic scholar publications	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	In this work, we compare the results of different approaches for automatic docu- ment layout analysis using Convolutional Neural Networks. Although there is great progress in the Image Processing domain, there are still open problems, such as ac- curate detection of regions of content and classification of them into semantically similar classes. The primary purpose of work is to simplify the further processing of Ukrainian historic archives. For it, two various techniques were used. The first one is modification and re-implementation of already existing approach for document lay- out analysis. Another method is suggested by us and re-uses the pre-trained model on a bigger dataset. During this work, we also collected a new dataset of Ukrainian scientific publications. We evaluate these approaches on an independent test set and compare the precisions of each model.	uk