Title :
Image Preprocessing for Improving OCR Accuracy
Author :
Bieniecki, Wojciech ; Grabowski, Szymon ; Rozenberg, Wojciech
Author_Institution :
Tech. Univ. of Lodz, Lodz
Abstract :
Digital cameras are convenient image acquisition devices: they are fast, versatile, mobile, do not touch the object, and are relatively cheap. In OCR applications, however, digital cameras suffer from a number of limitations, like geometrical distortions. In this paper, we deal with the preprocessing step before text recognition, specifically with images from a digital camera. Experiments, performed with the FineReader 7.0 software as the back-end recognition tool, confirm importance of image preprocessing in OCR applications.
Keywords :
cameras; optical character recognition; FineReader 7.0 software; OCR; digital camera; image acquisition devices; image preprocessing; text recognition; Application software; Character recognition; Digital cameras; Filters; Gaussian noise; Image recognition; Image resolution; Optical character recognition software; Solid modeling; Text recognition; Image preprocessing; OCR; digital cameras;
Conference_Titel :
Perspective Technologies and Methods in MEMS Design, 2007. MEMSTECH 2007. International Conference on
Conference_Location :
Lviv-Polyana
Print_ISBN :
978-966-553-614-7
DOI :
10.1109/MEMSTECH.2007.4283429
