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Zahedi et al., 2011 - Google Patents

License plate recognition system based on SIFT features

Zahedi et al., 2011

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Document ID
14616532665901741748
Author
Zahedi M
Salehi S
Publication year
Publication venue
Procedia Computer Science

External Links

Snippet

Scale invariant feature transform (SIFT) describing local features is a robust and reliable method for many pattern recognition purposes and can be applied to a wide range of problems in which local features are critical and helpful, like recognizing characters of …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
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    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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    • G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content

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