ROBUST DETECTION OF TEXT IN NATURAL SCENE IMAGES (20150380)
Authors :
SALONI S. AGRAWAL
, PROF. G. UBALE,
Abstracts : Detection of text and identification in natural scene
images has applications in computer vision systems
such as license plate detection, automatic street sign
translation, image retrieval and help for visually
challenged people. The text images has complex
background, blur, occluded text, different font-styles,
and noises in image and variation in illumination.
Hence, scene text recognition puts forth challenges in
computer vision. Hence, a potent method based on
Maximally Stable External Regions (MSER) has been
used as described in this paper. Here, the text
characters are clustered, separating them from high
probable non-text characters with the help of text
categorizer. The algorithm is then verified by testing it
on images based on the predefined rules.
Pages : 188-191
Downloads : 141
Publication Date : 2017-06-25
Modified Date : 2018-01-17
Cite/Export
SALONI S. AGRAWAL ,
PROF. G. UBALE, ,
"ROBUST DETECTION OF TEXT IN NATURAL SCENE IMAGES", JournalNX - A Multidisciplinary Peer Reviewed Journal, Volume 3 Issue 6, ISSN : 2581-4230, Page No. 188-191