Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004.
DOI: 10.1109/isimp.2004.1434172
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Combining hough transform and contour algorithm for detecting vehicles' license-plates

Abstract: Vehicle license plate (VLf') recognition is all interestingproblem that has attracted many computer "ision re search groups. Olle of the IIIOst important alld d(jJiclilt task of this problem is VLf' detecting. 11 is 110t only lIsed in V LP recognition systems but also useful to many Irq( fie management systems. Our method is used for the VLP recognition system that deals with Vietnamese I'Ll's and it can also be applied 10 oIlier !)pes of JILl's 11'i/h minor changes.There are variOliS approaches to this proble… Show more

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Cited by 61 publications
(10 citation statements)
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“…Hybrid frameworks, i.e. Hough transform and contour algorithm localizes the number plate to get closed boundaries of the objects and find two interacted parallel lines which are transformed to Hough coordinate to be considered as a plate-candidate [22]. However, there may be images that have other objects such as wear glasses, headlights, decorated things and so on.…”
Section: ) Segmentation Of Vehicle Plate Charactermentioning
confidence: 99%
See 1 more Smart Citation
“…Hybrid frameworks, i.e. Hough transform and contour algorithm localizes the number plate to get closed boundaries of the objects and find two interacted parallel lines which are transformed to Hough coordinate to be considered as a plate-candidate [22]. However, there may be images that have other objects such as wear glasses, headlights, decorated things and so on.…”
Section: ) Segmentation Of Vehicle Plate Charactermentioning
confidence: 99%
“…Third stage is the character segmentation based on the color combination and characters position. The final stage is to extract characters recognition using template matching [13], [16,17], neural network [10,11], [21,22,23] or fuzzy classifiers [20] and alike techniques. First two stages is the image processing step and evaluation depends on success rate and error rate.…”
Section: Introductionmentioning
confidence: 99%
“…In [10] for example, a description of an algorithm that uses Hough Transform for real-time pattern recognition is made. [9] Presents a boundary line-based method that optimizes speed and accuracy by combining the Hough transform and contour algorithm in vehicles' license-plate recognition. Consequently, Hough Transform technique has seen many improvements in the literature, but always in the context of image processing scope.…”
Section: Introductionmentioning
confidence: 99%
“…There has been considerable interest in detection of the license plate including texture based extraction [9], color based extractions of license plate [1], boundary-line based extraction [2] and Hough transform for line detection [8]. Color based extraction fails if car comes in the same color as the license plate.…”
Section: Introductionmentioning
confidence: 99%