Moment-Based Pattern Representation Using Shape and Grayscale Features

Autor:	Mikhail Lange, Sergey Ganebnykh, Andrey Lange
Rok vydání:	2007
Předmět:	Prefix code Brightness Self-synchronizing code Gesture recognition business.industry Computer science Code word Pattern recognition Artificial intelligence Invariant (mathematics) business Grayscale Decoding methods
Zdroj:	Pattern Recognition and Image Analysis ISBN: 9783540728467 IbPRIA (1)
DOI:	10.1007/978-3-540-72847-4_67
Popis:	A moment-based approach is developed to constructing tree-structured descriptions of patterns given by region-based shapes with grayscale attributes. The proposed representation is approximately invariant with respect to the pattern rotation, translation, scale, and level of brightness. The tree-like structure of the pattern representations provides their independent encoding into prefix code words. Due to this fact, a pattern recognition procedure amounts to decoding a code word of the pattern by the nearest code word from a tree of the code words of selected templates. Efficient application of the pattern representation technique is illustrated by experimental results on signature and hand gesture recognition.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b2e635001e680e96e0214b7ae800a916 https://doi.org/10.1007/978-3-540-72847-4_67 Zobrazit plný text záznamu