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基于图像处理技术的离线手写签名鉴别方法 被引量:1

Approach of Off-line Writing Signature Identification Based on Image Processing
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摘要 由于手写签名具有高度的唯一性、不遗忘性、自然性与可靠性已成为身份识别的研究热点。文中对手写签名识别技术主要是离线手写签名识别技术进行了详细分析,在研究手写签名的特点和在身份认证中实用性的基础上,提出了一种基于图像处理技术的手写签名鉴别方案,该方案利用了图像的缩放和膨胀细化技术对图像进行处理,然后利用均方差和峰值信噪比来评价签名图像的相似度。试验数据表明该鉴别方法简单可行且高效,能获得较好的验证率和鉴别率。 Handwritten signature verification is a heated topic because of the high uniqueness, unforgetable, natural and reliability of biolngical characters. Discusses handwritten signature verification technique and mainly the off - line handwritten signature verification. A new approach of off- line writing signatures is proposed based on the features of writing signature and the practicability of ID recognition technology. The all - round expansion and zooming technology are implemented to process the image, it can evaluate the similarities of signature image. The experimented results indicate the whole scheme is simple - practicable and high- efficient, it can acquire satisfactory verification rate and identification rate.
出处 《计算机技术与发展》 2010年第2期163-166,共4页 Computer Technology and Development
基金 安徽省自然科学基金(KJ2009B115Z)
关键词 手写签名鉴别 图像放大与缩小 图像膨胀与细化 均方差 峰值信噪比 writing signature identification reduction and enlargement of image expansion and refinement of image mean square error peak signal to noise ratio
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参考文献6

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二级参考文献29

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