Title :
Gabor filter based hand-drawn underline removal in printed documents
Author :
Das, S. ; Banerjee, Prithu
Author_Institution :
Compute Vision & Pattern Recognition Unit, Indian Stat. Inst., Kolkata, India
Abstract :
In this paper, a novel technique has been used for underline detection and removal in a Bengali and English document using Gabor filter and connected component analysis. In the underline detection module we first use Gabor filter in a specific direction to detect underline region and then use connected component analysis to detect particular underline. In second part i.e. underline removal module we use nearest neighbor approach. Our algorithm used for both touched and untouched underline. The experimental result of our proposed method demonstrates that it is able to improve Optical Character recognition (OCR) recognition accuracy.
Keywords :
Gabor filters; optical character recognition; Bengali document; English document; Gabor filter; OCR; connected component analysis; hand-drawn underline removal; nearest neighbor approach; optical character recognition; printed documents; underline detection module; underline region detection; untouched underline; Accuracy; Algorithm design and analysis; Engines; Filtering theory; Gabor filters; Noise; Optical character recognition software; Gabor filter; connected component analysis; nearest neighbour approach;
Conference_Titel :
Automation, Control, Energy and Systems (ACES), 2014 First International Conference on
Conference_Location :
Hooghy
Print_ISBN :
978-1-4799-3893-3
DOI :
10.1109/ACES.2014.6808009