Off-line Signature Recognition Using Hierarchical Temporal Memory

Chen Xue; Zhu Min

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Off-line Signature Recognition Using Hierarchical Temporal Memory

更新时间：2023-11-14

- Off-line Signature Recognition Using Hierarchical Temporal Memory
- Advanced Engineering Sciences Vol. 43, Issue Z1, Pages: 146-150(2011)
- 作者机构：
  
  四川大学计算机学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011，
  
  Published Online：11 April 2011，
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陈雪,朱敏.基于HTM的离线手写签名识别及改进[J].工程科学与技术,2011,43(Z1):146-150.

Chen Xue, Zhu Min. Off-line Signature Recognition Using Hierarchical Temporal Memory. [J]. Advanced Engineering Sciences 43(Z1):146-150(2011)
陈雪,朱敏.基于HTM的离线手写签名识别及改进[J].工程科学与技术,2011,43(Z1):146-150. DOI：

Chen Xue, Zhu Min. Off-line Signature Recognition Using Hierarchical Temporal Memory. [J]. Advanced Engineering Sciences 43(Z1):146-150(2011) DOI：

摘要

中文摘要: 现有离线签名识别的方法主要存在识别率低的缺陷，如何进一步提高签名识别率是目前该项研究的核心问题这一。本文提出一种基于层次时间记忆（Hierarchical Temporal Memory，HTM）的离线签名识别系统，并结合签名样本的时空特征，对离线签名进行有效处理和识别。实验结果证明，该方法的识别率可达95%，并对签名的移动与缩放有较好的识别效果。论文还结合算法中的maxdistance参数对识别结果进行分析和改进。

Abstract

Abstract:It is very important to improve the quality of off-line signature recognition methods. To this end

this paper introduces an off-line signature recognition system based on HTM(Hierarchical Temporal Memory)

which employs the hierarchical structure and spatio-temporal feature for transfer-invariant and scale-invariant signature recognition. The experimental results illustrate that the accurate rate is about 95%. Combining parameter maxdistance in the algorithm

this paper also analysis and improves the recognition result.

关键词

离线签名，手写签名识别，分层时序记忆，时空特征

Keywords

Off-line Signature Handwritten Signature Recognition Hierarchical Temporal Memory algorithm Spatio-temporal Feature

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