Title :
Turkish OCR on mobile and scanned document images
Author :
Karasu, Kurtulus ; Bastan, Muhammet
Author_Institution :
Bigisayar Muhendisligi Bolumu, Turgut Ozal Univ., Ankara, Turkey
Abstract :
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.
Keywords :
document image processing; mobile computing; optical character recognition; public domain software; CuneiForm; GOCR; Tesseract; Turkish OCR systems; commercial OCR systems; mobile camera captured document images; open source OCR systems; optical character recognition systems; scanned document images; Benchmark testing; Cameras; Character recognition; Histograms; Layout; Mobile communication; Optical character recognition software; Tesseract; Turkish OCR; benchmark; dataset; mobile device; scanner;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130278
