Extraction of text in images
Document Type
Conference Proceeding
Publication Date
1-1-1999
Abstract
In this paper we present a text segmentation technique that is useful in locating and extracting text blocks in images. The algorithm works without prior knowledge of the text orientation, size or font. It is designed to eliminate background image information and to highlight or identify the regions of the image that contain text. The algorithm uses the fact that text regions in an image may be identified by searching for several repeated instances of uniform gray intensity of approximately the same width. Combining this with the fact that the ratio of type-face stroke width to height is often fixed provides a useful technique for extracting text from images. Results of the application of this algorithm are presented.
Identifier
85040521106 (Scopus)
ISBN
[0769504469, 9780769504469]
Publication Title
Proceedings 1999 International Conference on Information Intelligence and Systems Iciis 1999
External Full Text Location
https://doi.org/10.1109/ICIIS.1999.810343
First Page
534
Last Page
537
Recommended Citation
Malik, Raashid and Chin, Seongah, "Extraction of text in images" (1999). Faculty Publications. 16157.
https://digitalcommons.njit.edu/fac_pubs/16157
