Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures

This study presents a wavelet analysis of resultant velocity features belonging to genuine and forged groups of signature sample. Signatures of individuals were initially classified based on visual human perceptions of their relative sizes, complexities, and legibilities of the genuine counterparts. Then, the resultant velocity was extracted and modeled through wavelet analysis from each sample. The wavelet signal was decomposed into several layers based on maximum overlap discrete wavelet transform (MODWT). Next, the zero crossing rate features were calculated from all the high wavelet sub‐bands. A total of seven hypotheses were then tested using a two‐way ANOVA testing methodology. Of these, four hypotheses were conducted to test for significance differences between distributions. In addition, three hypotheses were run to provide test for interaction between two factors of signature authentication versus perceived classification. The results demonstrated that both feature distributions belonging to genuine and forged groups of samples cannot be distinguished by themselves. Instead, they were significantly different under the influence of two other inherent factors, namely perceived size and legibility. Such new findings are useful information particularly in providing bases for forensic justifications in establishing the authenticity of handwritten signature specimens.     

Dynamic Characteristics of Signatures: Effects of Writer Style on Genuine and Simulated Signatures

The aims of this study were to determine if computer‐measured dynamic features (duration, size, velocity, jerk, and pen pressure) differ between genuine and simulated signatures. Sixty subjects (3 equal groups of 3 signature styles) each provided 10 naturally written (genuine) signatures. Each of these subjects then provided 15 simulations of each of three model signatures. The genuine (N = 600) and simulated (N = 2700) signatures were collected using a digitizing tablet. MovAlyzeR^® software was used to estimate kinematic parameters for each pen stroke. Stroke duration, velocity, and pen pressure were found to discriminate between genuine and simulated signatures regardless of the simulator's own style of signature or the style of signature being simulated. However, there was a significant interaction between style and condition for size and jerk (a measure of smoothness). The results of this study, based on quantitative analysis and dynamic handwriting features, indicate that the style of the simulator's own signature and the style of signature being simulated can impact the characteristics of handwriting movements for simulations. Writer style characteristics might therefore need to be taken into consideration as potentially significant when evaluating signature features with a view to forming opinions regarding authenticity.     

The dynamic character of disguise behavior for text-based, mixed, and stylized signatures

The aims of this study were to determine if dynamic parameters (duration, size, velocity, jerk, and pen pressure) differed for signing style (text-based, stylized, and mixed) and if signing style influences handwriting dynamics equally across three signature conditions (genuine, disguised, and auto-simulation). Ninety writers provided 10 genuine signatures, five disguised signatures, and five auto-simulated signatures. All 1800 signatures were collected using a digitizing tablet resulting in a database of each signature's dynamic characteristics. With genuine signatures, there were significant differences between styles for size, velocity, and pen pressure, and there were significant differences between genuine signatures and at least one of the un-natural signature conditions for all parameters. For velocity and size, these changes with condition were dependent on style. Changes with condition for the other parameters were similar for the three styles. This study shows that there are differences among natural signature styles and disguise behaviors that may be relevant in forensic signature examinations.     

Forensic Analysis of Digital Dynamic Signatures: New Methods for Data Treatment and Feature Evaluation

This study explored digital dynamic signatures containing quantifiable dynamic data. The change in data content and nature necessitates the development of new data treatment approaches. A SignPad Omega digitizing tablet was used to assess measurement reproducibility, as well as within‐writer variation and the occurrence of correctly simulated features. Measurement reproducibility was found to be high except for pressure information. Within‐writer variation was found to be higher between days than on a same day. Occurrence of correct simulation was low for features such as signature size, trajectory length, and total signature time. Feature discrimination factors combining within‐writer variability and the occurrence of correctly simulated features were computed and show that signature size, trajectory length, and signature time are the features that perform the best for discriminating genuine from simulated signatures. A final experiment indicates that dynamic information can be used to create connections between simulation cases.     

A Prototype of Mathematical Treatment of Pen Pressure Data for Signature Verification

A prototype using simple mathematical treatment of the pen pressure data recorded by a digital pen movement recording device was derived. In this study, a total of 48 sets of signature and initial specimens were collected. Pearson's correlation coefficient was used to compare the data of the pen pressure patterns. From the 820 pair comparisons of the 48 sets of genuine signatures, a high degree of matching was found in which 95.4% (782 pairs) and 80% (656 pairs) had rPA > 0.7 and rPA > 0.8, respectively. In the comparison of the 23 forged signatures with their corresponding control signatures, 20 of them (89.2% of pairs) had rPA values < 0.6, showing a lower degree of matching when compared with the results of the genuine signatures. The prototype could be used as a complementary technique to improve the objectivity of signature examination and also has a good potential to be developed as a tool for automated signature identification.     

写字机器人伪造签名字迹的鉴别

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。     

论签名笔迹的频谱分析方法

通过一种签名笔迹的频谱分析方法,并提取签名笔迹的压力、速度等动态特征数据,利用傅立叶变换原理,对特征数据进行频谱分析。实验研究发现,同一人的签名笔迹频谱图相似度高,且明显区别于他人的签名笔迹。签名笔迹的频谱分析方法可以直观、有效的鉴别签名笔迹。     

光谱成像检验法在朱墨时序鉴定中的应用

光敏印文色料与签字笔书写色料交叉重叠后,因互溶渗透不易形成层状结构而使判定朱墨时序的难度较大。光谱成像检验法是通过比较交叉点、纯印文色料、纯墨迹色料处的反射曲线位置来判定交叉时序关系。     

签名笔迹动态特征的理论研究

本文以签名笔迹为研究对象,提取书写过程中的动态特征,在此基础上,对签名笔迹动态特征的概念和属性进行了深入的探讨,构建了一套较为完整的签名笔迹动态特征的理论系统。     

笔压特征在文件检验中的应用

文件检验学理论发展到今天，从某种意义上说已经比较成熟了。但是在实际检案中如何利用好各种有价值的特征，寻找案件的切入点和突破口。为鉴定结论提供充分的依据。则是我们每个文件检验工作者需要不断总结的。笔者发现。笔压（笔力）特征不仅是同一性鉴定中经常应用的一个特征。并且在判断文件的添加变造等方面也可发挥重要的作用。本文通过两起案件的介绍。分析了笔压特征的特点。并探讨了笔压特征的观察方法及其在文件检验中应用的要点。     

Determination of the Chronological Order of a Laser Printing and Gel Pen Writing Without any Crossing Strokes

Laser printers and writing instruments are being exploited by the forgers to produce fabricated documents. They often produce such documents by appending genuine signature on a blank sheet and later printing on it. Often these fabricated documents do not contain intersection of strokes and may pose a difficulty to forensic document examiners in analyzing cases related to such documents. Keeping in mind the limited research work done on nonintersecting strokes, the present study has been conducted with an aim to determine the sequence of nonintersecting strokes of gel pens and laser printers. Three hundred samples of nonintersecting strokes of gel pen ink and laser printing were prepared. Of these 300, 150 had laser-printed text below the gel pen strokes and the remaining 150 were prepared with gel pen stokes below the laser-printed text. The samples have been analyzed using Nikon SMZ 800N stereomicroscope. Three micro-conformation features, that is, pattern of toner distribution, ink distribution, and fiber distribution have been observed in the samples. The results demonstrate the successful establishment of sequence of nonintersecting strokes in case of gel pen and laser-printed documents by the determination of micro-conformation features.     

The potential of collaborative learning as a tool for forensic students: Application to signature examination

Transferring theoretical knowledge to practical skills remains a big challenge in forensic science, especially in questioned documents. The examination of handwriting and signatures requires years of practice to develop the necessary skills. While students (and to some extent the general population) often have the impression that it is easy to differentiate handwriting from different persons, in practice, particularly when dealing with simulated signatures, there is a high risk of reaching a wrong conclusion when questioned document experts do not use a systematic approach and/or are not sufficiently experienced (see for example the famous French Dreyfus case). Thus, a novel teaching approach, based on collaborative learning, has been introduced in a theoretical handwriting class to improve the students’ theoretical knowledge, and additionally make them aware of the limitations of their practical skills and give them tools to improve them in their future practice. Through five activities, the students took the roles of victims, forgers, teachers and experts and created their own learning materials (i.e. signatures and mock casework). During those interactive activities, they learned to describe their signature’s characteristics, intra-variability and complexity, and thus evaluate their own signature’s vulnerability (as potential victims). They learned techniques to simulate signatures and detect the resulting forgeries’ characteristics (in the role of forgers). In the role of teachers, they prepared mock casework scenarios and gave feedback to their colleague’s examination of the produced material. As experts, they carried out signature examination as they would in a proficiency test and were exposed to the difficulties an actual expert may encounter in practice. The evaluation of this novel teaching scenario was very positive, as students learned more extensively the possibilities and limitations of signature comparison. They were more active and motivated in their learning experiences. The teaching team also had an improved experience. Some students complained of an increased workload and imprecise instructions. Improvements were tested and are discussed in this paper.     

设计签名的特点和鉴定方法

设计签名作为特殊的签名种类有其特有的书写规范和特征．在设计签名笔迹鉴定中既要遵循一般的笔迹检验技术规范，又要重视和分析设计签名的特点，通过设计者、签名用途和书写条件等特征数量和质量的衡量标准，进而形成更加符合设计签名书写习惯的综合评断。     

Kinematics of Signature Writing in Healthy Aging

Forensic document examiners (FDE) called upon to distinguish a genuine from a forged signature of an elderly person are often required to consider the question of age‐related deterioration and whether the available exemplars reliably capture the natural effects of aging of the original writer. An understanding of the statistical relationship between advanced age and handwriting movements can reduce the uncertainty that may exist in an examiner's approach to questioned signatures formed by elderly writers. The primary purpose of this study was to systematically examine age‐related changes in signature kinematics in healthy writers. Forty‐two healthy subjects between the ages of 60–91 years participated in this study. Signatures were recorded using a digitizing tablet, and commercial software was used to examine the temporal and spatial stroke kinematics and pen pressure. Results indicated that vertical stroke duration and dysfluency increased with age, whereas vertical stroke amplitude and velocity decreased with age. Pen pressure decreased with age. We found that a linear model characterized the best‐fit relationship between advanced age and handwriting movement parameters for signature formation. Male writers exhibited stronger age effects than female writers, especially for pen pressure and stroke dysfluency. The present study contributes to an understanding of how advanced age alters signature formation in otherwise healthy adults.     

伪装签名检验初探

伪装签名是一种签名造假手段,其目的是通过否认签名是自己所写,非法占有他人财物或逃避责任。伪装签名笔迹貌似正常,但受不同伪装手段的影响,笔迹会发生各种变化,因而检验难度较大。检验伪装签名时,鉴定人要解放思想,客观看待笔迹发生的变化,选用正确的检验方法,客观全面地选择笔迹特征,适时补充笔迹样本,条件具备时还应充分利用案情。     

A Set of Handwriting Features for Use in Automated Writer Identification,

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.     

低水平书写签名字迹的分析与鉴定

在文件检验工作中,少量字的签名字迹性质判断具有一定难度,若出现时间相隔久远,同期样本稀少,当事人年龄跨度几十年的案件,要对字迹性质作出准确判断将更困难。本文通过一起经济纠纷案,就三十年前低书写水平的签名字迹进行检材与样本分析、特征价值判断、背景调查、综合评断分析与经验总结,强调在检验中应当全面了解当事人的背景材料,对案件事实与鉴定要求之间的关联性进行深入调查研究,还需要准确把握字迹变化的原因,注意避免因书写习惯的变化性因素而错误评断字迹特征属性,进而做出科学、准确的鉴定意见。     

横式行草书设计签名笔迹检验探析

随着社会的发展,在各类经济、刑事及民事纠纷案件中涉及对设计签名进行鉴定的案件呈逐年上升趋势。横式行草书设计签名作为一种常见的特殊形式的签名,具有其独特的特点,对此类设计签名笔迹的检验方法还有待充实和完善,为成功地完成对设计签名的检验鉴定任务,总结横式行草书设计签名笔迹的特点,并对其检验依据及检验方法等问题进行分析阐述,以供广大同行共同研究探讨。     

患者不予签字同意的问题研究

知情同意是患者最基本的权利。知情同意一般分为四个环节:告知、知情、同意、签字。其中,"签字"是知情同意的最终行为方式。由于其在具体实践中常受到告知方式、理解能力、意识状态、法理缺陷等诸多因素的影响而突显出它的复杂性。我国于20世纪70年代后期开始将知情同意引入,并逐渐由医师执业道德范畴过渡到了法律规范的范畴。知情同意在我国发展的几十年中,最为典型的形式就是术前签字制度。文章将集中对患者不予签字同意进行分析和阐述,并从一般状态、患者或近亲属无明确意思表示以及紧急情况三个方面提出笔者的几点设想。     

The Influence of Lying Body Position on Handwriting

Although the problem of handwriting variability due to lying body position has practical significance, particularly for last will cases, it has not been sufficiently studied. The presented experiment aimed to recognize how such posture may influence handwriting features. Samples of text and signatures were collected from 50 healthy individuals, aged 23–58, produced in three postures: typical sitting position (SP) and two different lying positions (LP1 & LP2). Using the SP sample of each individual as a specimen, eleven characteristics in LP1 and LP2 samples were evaluated as similar or different. Nine other features were measured with a specialized software, and their conformity was tested with Student's t‐test. Although none of the characteristics differed significantly in most cases, variation occurred in pen pressure, margins, baselines, and heights of letters. Additionally, a series of blind tests revealed that lying position of the individuals did not hinder the possibility to identify their writings.