Karasu, KurtulusBastan, Muhammet2025-10-242025-10-242015978-1-4673-7386-92165-0608https://hdl.handle.net/20.500.12899/409623nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYOptical 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.trinfo:eu-repo/semantics/closedAccessTurkish OCR; mobile device; scanner; dataset; benchmark; TesseractConference Object20742077WOS:000380500900499N/A