Turkish OCR on mobile and scanned document images
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Optical character recognition (OCR) systems have been widely used to convert documents into digital form. There are lots of both commercial and open source OCR systems available, but a benchmark on Turkish OCR is nonexistent. In this work, we first prepared two publicly available datasets for Turkish OCR, consisting of scanned document images and mobile camera captured document images. Then, we evaluated the Turkish OCR performance of three popular open source OCR systems (Tesseract, CuneiForm, GOCR) on the datasets. Tesseract outperformed the other two on both datasets. © 2021 Elsevier B.V., All rights reserved.
Açıklama
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- -- Malatya; Inonu Universitesi -- 113052
Anahtar Kelimeler
benchmark, dataset, mobile device, scanner, Tesseract, Turkish OCR
Kaynak
WoS Q Değeri
Scopus Q Değeri
N/A
