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On-line Signature Verification Using Segment-to-segment Graph Matching
Kaiyue Wang; Yunhong Wang; Zhaoxiang Zhang
2011-09-18
Conference NameInternational Conference on Document Analysis and Recognition
Source PublicationICDAR 2011
Conference Date18-21 September 2011
Conference PlaceBeijing, China
AbstractThis paper proposes a novel approach of on-line signature verification. Firstly, on-line signatures are partitioned into a series of segments, which are then represented by graphs. Four segmentation methods are taken into account. Secondly, graph matching techniques are adopted to compute edit distance between corresponding graphs, which measures the similarity of them. Finally, having been able to compare two signatures, limited genuine signatures are used to train user dependent classifiers for each user. Experiments are conducted to validate the effectiveness of the proposed method and promising results are achieved.
KeywordBiometrics On-line Signature Signature Verification Signature Segmentation Graph Matching
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13280
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Kaiyue Wang,Yunhong Wang,Zhaoxiang Zhang. On-line Signature Verification Using Segment-to-segment Graph Matching[C],2011.
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