In the modern world, fast and efficient processing of non-digital (handwritten or typed) texts is the task of extreme
importance. Similar to many other fields, optical character recognition (OCR) benefits from the application of
machine learning (ML) which allows developing effective and accurate methods. In order to achieve good performance, a machine learning algorithm requires great amount of data. Nowadays, a large database of handwritten
characters prepared by National Institute of Standards and Technology (NIST), USA, can be used for training an
ML model. However, significant differences between the manners of handwriting exist in the US and Poland. That
fact, along with the absence of Polish diacritical marks, causes the NIST database to be less useful for development
of an OCR model for the Polish language. According to the best of the authors’ knowledge, no database with samples of Polish handwriting exists. The present research is focused at filling this gap, i.e. gathering and preparing an
extensive database of Polish handwritten characters. The paper presents the very first database of Polish handwriting samples. The database is by far larger than all the datasets used in the previous attempts of implementing OCR
for the Polish handwriting. It is also the first fully publicly accessible database of Polish handwriting of this scale.
The same method and developed tools can be used to build handwritten characters databases of other languages.
Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies
Informacja
SZANOWNI CZYTELNICY!
UPRZEJMIE INFORMUJEMY, ŻE BIBLIOTEKA FUNKCJONUJE W NASTĘPUJĄCYCH GODZINACH:
Wypożyczalnia i Czytelnia Główna: poniedziałek – piątek od 9.00 do 19.00