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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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09 May 2023, Volume 38 Issue 3
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Abstract
The textual representation of landscapes and other natural settings gives us an insight into the location and can reveal some pertinent details. A challenging problem of considerable practical interest is reading characters in unconstrained scene images. This problem can be observed in medical fields. Scene text identification in a general condition is still a very open and difficult research subject, even though various text identification techniques have been established. Usually, simple images contain text that consists of characters of very similar size and font. In deep scene images, where style attributes will vary, this may not be the case. Thus, End to End Scene Text Understanding using computer vision can be applied to detect text from complex images with complex backgrounds and fonts. Using the text we extracted from the images, we can store it in a document and use it in the future.
Keyword
Image Processing, Text Recognition, Machine Learning, CNN.
PDF Download (click here)
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