Pattern Recognition with Rejection Combining Standard Classification Methods with Geometrical Rejecting
Władysław Homenda , Agnieszka Jastrzębska , Piotr Waszkiewicz , Anna Zawadzka
AbstractThe motivation of our study is to provide algorithmic approaches to distinguish proper patterns, from garbage and erroneous patterns in a pattern recognition problem. The design assumption is to provide methods based on proper patterns only. In this way the approach that we propose is truly versatile and it can be adapted to any pattern recognition problem in an uncertain environment, where garbage patterns may appear. The proposed attempt to recognition with rejection combines known classifiers with geometric methods used for separating native patterns from foreign ones. Empirical verification has been conducted on datasets of handwritten digits classification (native patterns) and handwritten letters of Latin alphabet (foreign patterns).
|Publication size in sheets||0.65|
|Book||Saeed Khalid, Homenda Władysław (eds.): Computer Information Systems and Industrial Management, Lecture Notes In Computer Science, vol. 9842, 2016, SPRINGER INT PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INT PUBLISHING AG, ISBN 978-3-319-45377-4, DOI:10.1007/978-3-319-45378-1_61|
|Keywords in English||Pattern recognition; Classification; Rejecting option; Geometrical methods|
|Score|| = 15.0, 26-01-2020, BookChapterSeriesAndMatConfByConferenceseries|
= 15.0, 26-01-2020, BookChapterSeriesAndMatConfByConferenceseries
|Publication indicators||= 1; = 1|
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