New off-line Handwritten Signature Verification method based on Artificial Immune Recognition System

作者：

Highlights：

• A new system for Handwritten Signature Verification is proposed.

• The Artificial Immune Recognition System is proposed to achieve the verification task.

• Two new features that are Gradient Local Binary Patterns and Longest Run Features are proposed.

• Results obtained on CEDAR and GPDS-100 corpuses reveal the effectiveness of the proposed methods.

摘要

•A new system for Handwritten Signature Verification is proposed.•The Artificial Immune Recognition System is proposed to achieve the verification task.•Two new features that are Gradient Local Binary Patterns and Longest Run Features are proposed.•Results obtained on CEDAR and GPDS-100 corpuses reveal the effectiveness of the proposed methods.

论文关键词：Artificial Immune Recognition System,Gradient Local Binary Patterns,Longest Run Features,Signature verification

论文评审过程：Received 11 January 2015, Revised 12 November 2015, Accepted 1 January 2016, Available online 11 January 2016, Version of Record 23 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.001