通过编写器的不变量来标识编写器

A. Bensefia, A. Nosary, T. Paquet, L. Heutte
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引用次数: 86

摘要

这个通信处理的是作者身份的问题。如果写作个体性的假设是正确的,那么构成它的图形片段也应该是个体性的。因此,我们提出了一种基于词素分析的写作者识别方法。模板匹配是该方法的核心。书写中单个模式的冗余(定义为书写者的不变量)允许压缩手写文本,同时保持良好的识别性能。报告了两组试验。第一个系列旨在通过评估文本表示(带或不带不变量)对方法质量的影响,在88位作者的基础上评估我们识别方法的相关性。当使用大量压缩的手写样本时,该方法的正确率约为97.7%。第二组测试旨在评估待识别的写作样本量对方法质量的影响。结果表明,仅使用每种文字的50个字素样本,写作者识别的正确率就可以达到92.9%。
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Writer identification by writer's invariants
This communication deals with the problem of writer identification. If the assumption of writing individuality is true then graphical fragments that constitute it should be individual too. Therefore we propose a morphological grapheme based analysis to make writer identification. Template Matching is the core of the approach. The redundancy of the individual patterns in a writing, defined as the writer's invariants, allows to compress the handwritten texts while maintaining good identification performance. Two series of tests are reported. The first series is designed to evaluate the relevance of our approach of identification on a basis of 88 writers by evaluating the influence of the text representation (with or without invariants) on the quality of the method. The method gives about 97,7% of correct identification when using large compressed samples of handwriting. The second series of tests is designed to evaluate the influence of the sample size of the writing to be identified on the quality of the method. It is shown that writer identification can reach a correct identification rate of 92,9% using only samples of 50 graphemes of each writing.
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