Relaxational extracting method for character recognition in scene images.

Jun Ohya, Akio Shio, Shigeru Akamatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An effective extraction algorithm for character recognition in scene images is developed. Character candidate regions are detected by an image-segmentation method based on adaptive thresholding and by evaluating gray-level difference between adjacent regions. Character pattern candidates are obtained by associating the detected regions according to their positions and gray levels and evaluating the aspect ratio of the rectangle that circumscribes the associated regions. The character-recognition process selects character pattern candidates with high similarities to any categories in a dictionary (high similarity patterns). Highly promising experimental results have been obtained using the method on 100 images acquired under uncontrolled lighting. This algorithm can be applied to read characters of any size and format under various lighting conditions.

Original languageEnglish
Title of host publicationProc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit
PublisherPubl by IEEE
Pages424-429
Number of pages6
ISBN (Print)0818608625
Publication statusPublished - 1988 Dec 1
Externally publishedYes

Publication series

NameProc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Ohya, J., Shio, A., & Akamatsu, S. (1988). Relaxational extracting method for character recognition in scene images. In Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit (pp. 424-429). (Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit). Publ by IEEE.