A RFM Pattern Recognition System Invariant to Rotation, Scale and Translation

Autor:	Selene Solorza-Calderón, Jonathan Verdugo-Olachea
Rok vydání:	2015
Předmět:	Radon transform business.industry Pattern recognition Invariant (physics) Pattern recognition system Scale invariance Frequency spectrum symbols.namesake Fourier transform Font symbols Latin alphabet Artificial intelligence business Mathematics
Zdroj:	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319257501 CIARP
DOI:	10.1007/978-3-319-25751-8_57
Popis:	In this paper a rotation, scale and translation (RST) invariant pattern recognition digital system based on 1D signatures is proposed. The rotation invariance is obtained using the Radon transform, the scale invariance is achieved by the analytical Fourier-Mellin transform and the translation invariance is realized through the Fourier’s amplitude spectrum of the image. Once, the RST invariant Radon-Fourier-Mellin (RFM) image is generated (a 2D RST invariant), the marginal frequencies of that image are used to build a RST invariant 1D signature. The Latin alphabet letters in Arial font style were used to test the system. According with the statistical method of bootstrap the pattern recognition system yields a confidence level at least of 95%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dd7ded68b2337169a43b83a2766e805a https://doi.org/10.1007/978-3-319-25751-8_57 Zobrazit plný text záznamu