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41.
伪装笔迹实验样本的识别与提取技巧 总被引:1,自引:0,他引:1
笔迹样本的质量是关系笔迹鉴定工作成败的一个重要因素,本文即介绍了在实验样本中如何识别伪装笔迹,并针对具体情形提出了在笔迹实验样本收集与提取中应注意的事项及相关技巧,以期对笔迹鉴定工作能够有所裨益。 相似文献
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Many forensic document examiners are hesitant to express authorship opinions on photocopied handwriting as the photocopying process results in less feature information than original writing. This study aimed to test the accuracy of 15 examiners' opinions regarding whether photocopied questioned signatures were genuine or simulated. Each examiner received the same set of original signature exemplars, from one individual, and a set of eighty questioned photocopied signatures comprising of genuine and simulated signatures. The overall misleading (error) rate for the grouped examiners' opinions was 0.9% providing strong evidence that examiners can make accurate observations regarding the authorship of non-original handwriting. 相似文献
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As handwriting is influenced by physiology, training, and other behavioral factors, a study of the handwriting of twins can shed light on the individuality of handwriting. This paper describes the methodology and results of such a study where handwriting samples of twins were compared by an automatic handwriting verification system. The results complement that of a previous study where a diverse population was used. The present study involves samples of 206 pairs of twins, where each sample consisted of a page of handwriting. The verification task was to determine whether two half-page documents (where the original samples were divided into upper and lower halves) were written by the same individual. For twins there were 1236 verification cases -- including 824 tests where the textual content of writing was different, and 412 tests where it was the same. An additional set of 1648 test cases were obtained from handwriting samples of nontwins (general population). To make the handwriting comparison, the system computed macro features (overall pictorial attributes), micro features (characteristics of individual letters), and style features (characteristics of whole-word shapes and letter pairs). Four testing scenarios were evaluated: twins and nontwins writing the same text and writing different texts. Results of the verification tests show that the handwriting of twins is less discriminable than that of nontwins: an overall error rate of 12.91% for twins and 3.7% for nontwins. Error rates with identical twins were higher than with fraternal twins. Error rates in all cases can be arbitrarily reduced by rejecting (not making a decision on) borderline cases. A level of confidence in the results obtained is given by the fact that system error rates are comparable to that of humans (lower than that of lay persons and higher than that of questioned document examiners [QDEs]). 相似文献
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Thomas W. Vastrick BS Ellen Schuetzner BA Kelsey Osborn BS 《Journal of forensic sciences》2021,66(1):265-271
In the third of a series of studies and reports, the authors expand on the frequency occurrence proportions of various handwritten features. The first study culminated in the publication of “Measuring the Frequency Occurrence of Handwriting and Handprinting Characteristics.” That study was followed by “Measuring the Frequency Occurrence of Handwritten Numeral Characteristics.” The premise of this current and future follow‐up studies is to expand on the initial lists of information incrementally by expanding the number of features and the number of writers. This study expands on the list of numeral features. A total of 34 numeral features was selected by the authors as candidates for this study and tested through an attribute agreement analysis. Based on the results of the testing, 17 new features have been added to the list of proportions. The original 1410 handwritten numeral specimen forms were utilized and pared to 1024 to obtain a proper population sampling for the United States. Interdependency testing was conducted on 783 pairs of inter‐character numerals. A coefficient of correlation between ?0.2 and +0.2 was found in 534 (68.20%) of these pairs. As of this report, there are now a total of 42 numerals with measured frequencies of occurrence. This material has already borne fruit as the combined frequency of occurrence studies were explained during an unsuccessful exclusion hearing in court with an explanation as to how these studies support the reliability of forensic document examination. 相似文献
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目的通过实验研究使用写字机器人伪造的签名字迹特征,减小文件检验鉴定中的错判风险。方法以真实书写字迹为模板、使用市面上主流款式的写字机器人执不同种类书写笔进行书写,通过直接观察、显微观察、反射变换成像(RTI)方法观察等方式比对手写字迹和机器人书写字迹的差异,归纳写字机器人伪造字迹的主要特征,总结出有效的检验鉴别方法。结果通过研究发现写字机器人伪造签名笔迹的特点主要有起收笔为顿压笔,笔画出现细微的抖动歪曲现象,整体笔画笔压均匀,运笔生硬无笔势等。结论目前写字机器人伪造签名字迹与真实手写字迹还有一定差异,使用反射变换成像(RTI)方法观察能达到较好的检验效果。 相似文献
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经济纠纷案件中涉及笔迹检验尤其是摹伤笔迹检验的比例日益增多。研究探讨有关摹仿笔迹在经济纠纷案件中的新类型及其特点,以及对此应采取的检验对策,在实践中有十分重要的作用。 相似文献
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Sargur N. Srihari Ph.D. Lu Meng M.S. Lisa Hanson B.S. 《Journal of forensic sciences》2016,61(5):1292-1300
Handwriting of children in early grades is studied from the viewpoint of quantitatively measuring the development of handwriting individuality. Handwriting samples of children, in grades 2–4, writing a paragraph of text in both handprinted and cursive, collected over a period of 3 years, were analyzed using two different approaches: (i) characteristics of the word “and” and (ii) entire paragraphs using an automated system. In the first approach, word characteristics were analyzed using statistical measures. In the second approach, pairs of paragraphs were compared. Both types of analysis, single word and complete writing, led to the same conclusions: (i) handwriting of each child remains relatively similar when handwriting has been just learnt and becomes markedly different from grades 3 to 4 and (ii) handwriting of different children becomes progressively more different from grades 2 to 4. The results provide strong support that handwriting becomes more individualistic with child development. 相似文献
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John J. Miller Ph.D. Robert Bradley Patterson Ph.D. Donald T. Gantz Ph.D. Christopher P. Saunders Ph.D. Mark A. Walch M.P.H. M.Arch. JoAnn Buscaglia Ph.D. 《Journal of forensic sciences》2017,62(3):722-734
A writer's biometric identity can be characterized through the distribution of physical feature measurements (“writer's profile”); a graph‐based system that facilitates the quantification of these features is described. To accomplish this quantification, handwriting is segmented into basic graphical forms (“graphemes”), which are “skeletonized” to yield the graphical topology of the handwritten segment. The graph‐based matching algorithm compares the graphemes first by their graphical topology and then by their geometric features. Graphs derived from known writers can be compared against graphs extracted from unknown writings. The process is computationally intensive and relies heavily upon statistical pattern recognition algorithms. This article focuses on the quantification of these physical features and the construction of the associated pattern recognition methods for using the features to discriminate among writers. The graph‐based system described in this article has been implemented in a highly accurate and approximately language‐independent biometric recognition system of writers of cursive documents. 相似文献