文章基本信息

标题：Offline Signature Verification Using Support Local Binary Pattern
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作者：P. Vickram ; A. Sri Krishna ; D. Swapna 等
期刊名称：International Journal of Artificial Intelligence & Applications (IJAIA)
印刷版ISSN：0976-2191
电子版ISSN：0975-900X
出版年度：2016
卷号：7
期号：6
页码：85
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The offline signature verification is an automatic verification system that works on the scanned image of asignature. Signature verification uses the gray level measure with varying foreground features. Thesignature verification is performed by identifying feature vector using local patterns. The Local BinaryPattern (LBP) in signature verification has used to extract the local structure information by establishingthe relationship between central pixel and adjacent pixels. This paper uses the Support Local BinaryPattern (SLBP) features for signature verification. The signatures are tested on MCYT dataset. Theaccuracy of the proposed method is tested against k-Nearest Neighbor Classifier (KNNC) and LinearDiscriminant Classifier (LDC).
关键词：Histogram; Completed Local Binary Pattern (CLBP); Support Local Binary Pattern (SLBP).