Naslov
Optical Character Recognition on images with colorful background

Autori
Brisinello, Matteo ; Grbić, Ratko ; Stefanović, Dejan ; Pečkai-Kovač, Robert

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) / - Berlin : Institute of Electrical and Electronics Engineers (IEEE), 2018, 1-6

ISBN
978-1-5386-6095-9

Skup
IEEE 8th International Conference on Consumer Electronics

Mjesto i datum
Berlin, Njemačka, 02.09.2018. - 05.09.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
OCR ; images with colorful background ; image segmentation ; image classification

Sažetak
In this paper, a preprocessing method is presented for improving Tesseract Optical Character Recognition (OCR) performance on images with colorful background. The proposed method consists of two steps. At first, a text segmentation method is performed which attempts to extract the text from the colorful background. This step is based on input image clustering into k images. In the second step, a classifier is used to identify the image containing text among k images resulting from the previous step. OCR is then performed on the identified image. The proposed preprocessing method improves Tesseract OCR performance by approximately 20%.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA