Title :
Morphological text extraction from images
Author :
Hasan, Yassin M Y ; Karam, Lina J.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
fDate :
11/1/2000 12:00:00 AM
Abstract :
This paper presents a morphological technique for text extraction from images. The proposed morphological technique is insensitive to noise, skew and text orientation. It is also free from artifacts that are usually introduced by both fixed/optimal global thresholding and fixed-size block-based local thresholding. Examples are presented to illustrate the performance of the proposed method
Keywords :
document image processing; feature extraction; image processing; mathematical morphology; text analysis; artifacts free; block-based local thresholding; fixed/optimal global thresholding; image analysis; morphological technique; noise insensitive; skew insensitive; text extraction; text orientation insensitive; Biomedical imaging; Computational complexity; Computer vision; Image analysis; Image processing; Notice of Violation; Pattern recognition; Shape; Vehicle detection; Video compression;
Journal_Title :
Image Processing, IEEE Transactions on
