7th International Conference on Image Processing and Its Applications 1999
DOI: 10.1049/cp:19990320
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Pattern recognition in grey level images using moment based invariant features

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Cited by 34 publications
(12 citation statements)
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“…There are many papers on object recognition using fuzzy, neural and feature-based identification systems [6][7][8][9][10][11]. Poker card recognition in this paper is based on feature-based [12,13] identification.…”
Section: Introductionmentioning
confidence: 99%
“…There are many papers on object recognition using fuzzy, neural and feature-based identification systems [6][7][8][9][10][11]. Poker card recognition in this paper is based on feature-based [12,13] identification.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, a huge amount of storage capacity and high-speed DSP processors are required for system so established, inevitably resulting in disadvantages in terms of system complexity, processing speed and establishment cost. As a result, the performance of real-time measurements via the pattern recognition or image analysis methods [18][19][20][21][22][23] was generally not satisfactory because of the speed constraint. Based on a triangular relationship, image-based distance measuring systems (IBDMS) [24][25][26][27][28][29] were proposed to measure distance and area using two laser projectors and a CCD camera.…”
Section: Introductionmentioning
confidence: 99%
“…The moment based technique was successfully applied in trademark identification [2] , insect identification [3,4] use geometric invariant moment for pattern recognition. The main contribution of this work consists of using GM to recognize objects in captured images.…”
Section: Introductionmentioning
confidence: 99%