Presentation 1995/9/28
Character String Extraction based on Multi-Scale Measurement
Hidekata Hontani, Shigeyoshi Shimotsuji,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a new method for character string extraction that works efficiently even for a complicated geographical map. The concept of multi-scale measurement is introduced to achieve development of an efficient string detection technique. The proposed method first merges small black regions within a certain area into a mass. The proposed method observes the change of a mass corresponding to the change of the size of the area, and searches for a stable mass as a character string. Because a stable mass may include small figures, a character recognition process follows to judge whether a mass forms a character string. If a mass is rejected, it is split into smaller masses according to the results of multi-scale measurement. These judgment and split processes are repeated recursively.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) character string extraction / character recognition / multi-scale / map recognition / adaptive
Paper # PRU95-104
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Conference Information
Committee PRU
Conference Date 1995/9/28(1days)
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Paper Information
Registration To Pattern Recognition and Understanding (PRU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Character String Extraction based on Multi-Scale Measurement
Sub Title (in English)
Keyword(1) character string extraction
Keyword(2) character recognition
Keyword(3) multi-scale
Keyword(4) map recognition
Keyword(5) adaptive
1st Author's Name Hidekata Hontani
1st Author's Affiliation Toshiba R & D Center Communication and Information Systems Laboratorys()
2nd Author's Name Shigeyoshi Shimotsuji
2nd Author's Affiliation Toshiba R & D Center Communication and Information Systems Laboratorys
Date 1995/9/28
Paper # PRU95-104
Volume (vol) vol.95
Number (no) 278
Page pp.pp.-
#Pages 6
Date of Issue