Automatic recognition of symbols in utility maps

A. Abdul Manaf; O. Mohd Rijal; G. Sulong; Azizah Abdul Manaf

doi:10.1109/TENCON.1994.369189

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Conference proceeding

Automatic recognition of symbols in utility maps

A. Abdul Manaf, O. Mohd Rijal, G. Sulong and Azizah Abdul Manaf

Proceedings of TENCON'94 - 1994 IEEE Region 10's 9th Annual International Conference on: 'Frontiers of Computer Technology', pp.857-861 vol.2

1994

DOI: https://doi.org/10.1109/TENCON.1994.369189

Abstract

Costs

Design automation

Euclidean distance

Image converters

Image segmentation

Manuals

Mathematics

Prototypes

Software prototyping

Testing

A new algorithm for matching and recognizing test symbols is developed via matching segments which identify the test symbol as one of the nearest prototypes. The measures of similarity between the segment lists involve (i) the total minimum cost and (ii) the Euclidean distance. The proportion of times a test image is correctly matched to the prototype is a measure of the probability of misclassification. Preliminary results using this technique show it to be quite promising, as a recognition rate of 80-90% has been achieved.< >

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Details

Title: Automatic recognition of symbols in utility maps
Creators - without role: A. Abdul Manaf - University of Kuala Lumpur
O. Mohd Rijal
G. Sulong
Azizah Abdul Manaf - University of Jeddah
Publication Details: Proceedings of TENCON'94 - 1994 IEEE Region 10's 9th Annual International Conference on: 'Frontiers of Computer Technology', pp.857-861 vol.2
Publisher: IEEE
Identifiers: 9933307508331
Academic Unit: University of Jeddah
Language: English
Resource Type: Conference proceeding