Design and recognition of human-readable and machine-readable patterns

LanguageEnglish
TypeProceedings of International Conferences
AuthorsSeiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise
TitleDesign and recognition of human-readable and machine-readable patterns
Journal1st Joint Workshop on Machine Perception and Robotics (MPR2005)
Number of pages8
LocationBeijin, China
ReviewedReviewed
DateSeptember 2005
Research fieldsPattern recognition, Document Image Analysis
KeyUchida2005_MPR (id=371)

Abstract

In this paper, design and recognition of human-readable and machine-readable patterns are investigated. Specifically speaking, we design character images printed with a horizontal stripe pattern, called a cross ratio pattern. The cross ratio derived from the cross ratio pattern represents the class information of the character. Since the cross ratio is invariant to projective distortion, the class information is extracted correctly regardless of camera angle. The character image itself is human-readable and therefore the character image with the cross ratio pattern is not only humanreadable and but also machine-readable and can be used as a medium for human-machine communication.

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