VOTING-BASED OCR SYSTEM
Costin-Anton Boiangiu, Radu Ioanitescu, Razvan-Costin Dragomir · 2016
Current solutions for performing Optical Character Recognition (OCR) in both academic and commercial environments have good recognition capabilities but each one of them has limitations as a consequence of the assumptions made for the defining algorithmic approach. This paper aims to define a new OCR method that combines the results from different algorithms and/or engines. Because we know in advance the specific characteristics of each OCR approach in a given context, a voting algorithm can be applied between their results. The final result of the proposed method is a combination of the different algorithms and exhibits better characteristics than any individual version taken separately. Furthermore, we propose a fully integrated solution containing voting-based approaches for all the preprocessing stages necessary in a complete OCR solution: image binarization, image segmentation, and layout analyze.