A Scale Self-Adaptive Tracking Method Based on Moment Invariants

Kang, Young Jin; Hu, Bin; Wang, Yi; Shao, Zili

doi:10.1007/s11265-014-0935-7

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Cited by 3 publications

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“…Many of them use the moments. We find the geometric moments whose base was founded by M. K. Hu [4], but several other works followed [5]- [8].…”

Section: Introductionmentioning

confidence: 99%

Rearranged Descriptor Approach based on Radon Transform to Digits Recognition

Bechar¹,

Bessaid²,

Messadi³

2021

EEA

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In this paper, the Radon transform method is used to generate a set of rotation invariant characteristics. Experiments of our approach were carried out on a database of ten decimal digits (0 to 9) in 24 different orientations from 0° to 360 ° by a step of 15 °. A multilayer perceptron neural network is used in the classification phase to test the effectiveness of our approach. The proposed approach is noise-effective and leads to a classification rate equal to 100 % for images without noise and a classification rate equal to 95.2 for images with noise.

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“…Many of them use the moments. We find the geometric moments whose base was founded by M. K. Hu [4], but several other works followed [5]- [8].…”

Section: Introductionmentioning

confidence: 99%