So this paper research off line handwriting verification of text dependent based on the background.
本文正是基于高自考这样的背景，来研究基于文本依存的离线笔迹鉴别。
This paper presents a context dependent method of off-line handwriting verification based on the texture feature.
针对文本依存的离线笔迹鉴别，提出一种基于纹理的算法。
For the insufficiency of traditional information fusion algorithms used in handwriting verification, advanced majority rule information fusion algorithm is put forward.
针对传统笔迹鉴定信息融合算法的不足，提出了改进多数规则信息融合算法。
Through testing a great deal of sample datum, this method obtains 97.3% of the average matching ratio. Experimental results have met the need of the handwriting verification system.
用该方法对相关样本进行大量实验，平均配准率达到了97.3%，基本符合笔迹鉴定系统的研发要求。
The paper proposes an online handwriting signature verification algorithm with signature energy as feature based on dynamic time warping (DTW).
提出了一种基于DTW匹配的以签名能量为特征的在线手写签名验证算法。
On-line handwriting signature verification is one kind of biometric identity recognition technology. This article tries to apply evolutionary computation theory to handwriting signature verification.
在线手写签名验证是一种基于生物特征的身份识别技术，论文尝试将演化计算理论用于手写签名验证。
On-line handwriting signature verification is one kind of biometric identity recognition technology. This article tries to apply evolutionary computation theory to handwriting signature verification.
在线手写签名验证是一种基于生物特征的身份识别技术，论文尝试将演化计算理论用于手写签名验证。
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