JOURNAL ARTICLE

A Binarization Technique for Extraction of Devanagari Text from Camera Based Images

Rajesh K. BawaGanesh Kumar Sethi

Year: 2014 Journal:   Signal & Image Processing An International Journal Vol: 5 (2)Pages: 29-37

Abstract

This paper presents a binarization method for camera based natural scene (NS) images based on edge analysis and morphological dilation.Image is converted to grey scale image and edge detection is carried out using canny edge detection.The edge image is dilated using morphological dilation and analyzed to remove edges corresponding to non-text regions.The image is binarized using mean and standard deviation of edge pixels.Post processing of resulting images is done to fill gaps and to smooth text strokes.The algorithm is tested on a variety of NS images captured using a digital camera under variable resolutions, lightening conditions having text of different fonts, styles and backgrounds.The results are compared with other standard techniques.The method is fast and works well for camera based natural scene images.

Keywords:
Devanagari Artificial intelligence Computer vision Computer science Extraction (chemistry) Pattern recognition (psychology) Image (mathematics) Character recognition Chromatography Chemistry

Metrics

5
Cited By
0.72
FWCI (Field Weighted Citation Impact)
16
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology

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