A character image enhancement method from characters with various background images

Author

Ozawa, Hideaki ; Nakagawa, Toru

Author_Institution

NTT Human Interface Lab., Kanagawa, Japan

fYear

1993

fDate

20-22 Oct 1993

Firstpage

58

Lastpage

61

Abstract

A method which converts characters with complex backgrounds into black characters with plain white backgrounds is proposed. The method first transforms the spatial gray-level images that represent the geometric patterns into real gray-level images. The method then distinguishes the gray level of the characters from the gray level of the background images. The proposed algorithm is applied to many headlines published in Japanese newspapers, and its performance for enhancing character extraction is confirmed

Keywords

document image processing; image enhancement; optical character recognition; Japanese newspapers; background images; black characters; character extraction; character image enhancement method; geometric patterns; headlines; performance; plain white backgrounds; spatial gray-level images; Books; Character recognition; Humans; Image converters; Image enhancement; Laboratories; Licenses; Optical character recognition software; Pixel; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on

Conference_Location

Tsukuba Science City

Print_ISBN

0-8186-4960-7

Type

conf

DOI

10.1109/ICDAR.1993.395782

Filename

395782