New off-line Handwritten Signature Verification method based on Artificial Immune Recognition System
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- 作者：Yasmine Serdouk ; yserdouk@usthb.dz" class="auth_mail" title="E-mail the corresponding author ; serdoukyasmine@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Hassiba Nemmour hnemmour@usthb.dz" class="auth_mail" title="E-mail the corresponding author ; Youcef Chibani ychibani@usthb.dz" class="auth_mail" title="E-mail the corresponding author
- 关键词：Artificial Immune Recognition System ; Gradient Local Binary Patterns ; Longest Run Features ; Signature verification
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：1 June 2016
- 年：2016
- 卷：51
- 期：Complete
- 页码：186-194
- 全文大小：909 K
文摘
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A new system for Handwritten Signature Verification is proposed.
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The Artificial Immune Recognition System is proposed to achieve the verification task.
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Two new features that are Gradient Local Binary Patterns and Longest Run Features are proposed.
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Results obtained on CEDAR and GPDS-100 corpuses reveal the effectiveness of the proposed methods.