Relaxational extracting method for character recognition in scene images.

Jun Ohya, Akio Shio, Shigeru Akamatsu

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit
出版社Publ by IEEE
ページ424-429
ページ数6
ISBN(印刷版)0818608625
出版ステータスPublished - 1988 12 1
外部発表はい

出版物シリーズ

名前Proc CVPR 88 Comput Soc Conf on Comput Vision and Pattern Recognit

ASJC Scopus subject areas

  • Engineering(all)

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