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Grayscale Feature Extraction

Hoekstra, E. (2003) Grayscale Feature Extraction. Master's Thesis / Essay, Computing Science.

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Abstract

This research examines the effects of grayscale feature extraction on, primary, the recognition of characters and, secondary, the recognition of license plates. Examination of the influence of thresholding on the recognition of characters displays the possible advantage of grayscale feature extraction. Two methods are selected to do this job, pseudo Zernike moments and topographic labeling of pixels. Features from zoning topographic labels show the best result in use with neural networks. The robustness of topographic features is observed when compared to classification with binary features. In the context of license plate recognition this means incorrect classification can be reduced while preserving correct classifications.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:29
Last Modified: 15 Feb 2018 07:29
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/8866

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