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Handwriting Verification Based on Fusion of Feature Extracting Algorithms

机译:基于特征提取算法融合的手写体验证

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The handwriting verification information fusion algorithm based on advanced majority rule was put forward.Several methods of the off-line,text-dependent writer verification were combined with that fusion algorithm,and the ideal of giving the similarity degree of two handwritings while judging was proposed.We also give calculation method of the similarity degree.The result of combination and the similarity degree of two handwriting images can assist document examiners in making determination.Document examiners can make the final determination according to the request of specific application and the confidence degree of the system.Experimental results indicate that compared with current methods,verification accuracy is greatly raised with this approach.
机译:提出了基于高级多数规则的笔迹验证信息融合算法。将几种离线,文本相关的笔迹验证方法与该融合算法相结合,提出了在判断时给出两个笔迹相似度的理想方法。我们还给出了相似度的计算方法。两个笔迹图像的组合结果和相似度可以帮助文件审查员进行确定。文件审查员可以根据具体应用的要求和对文件的置信度做出最终确定。实验结果表明,与现有方法相比,该方法的验证精度大大提高。

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