The “t” time: Investigating handedness through strokes and slopes

IF 1.5 4区 医学 Q2 MEDICINE, LEGAL Journal of forensic sciences Pub Date : 2024-07-25 DOI:10.1111/1556-4029.15591
Kata Šunjić BSc, Ana Banovac MSc, Tijana Kafadar BSc, Nena Džin BSc, Marko Žeravica BSc, Petra Mikulić BSc, Ana Penava BSc, Adriana Kulišić BSc, Zlatka Hajdić BSc, Ivana Kružić PhD, Ivan Jerković PhD, Željana Bašić PhD
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Abstract

This study investigated the stroke and slope characteristics in left-handed and right-handed handwriting. Stroke (letters t, f, đ, and H) and slope (letters t, f, l, d, and g) directions were analyzed on in-house samples (n = 64), revealing statistically significant differences (p ≤ 0.05) between the groups. Right-handers predominantly exhibited left-to-right strokes (98%–100%), while left-handers showed greater variability. Although statistically significant for most letters analyzed, slope direction did not demonstrate consistent patterns. A logistic regression model was developed and validated on the same sample to classify handedness based on the averaged strokes of the letter “t.” The model was further tested on samples (n = 252) from a publicly available handwriting database. If the model classified the sample as produced by left hand, it was correct in 100% of cases. In contrast, when the model classified writing as right-handed, it was correct in 73%–97% of cases, depending on the validation sample. The model classified writing as of left-handed origin if more than 36% of the letters “t” had a stroke from right to left, while otherwise, writing was classified as of right-handed origin. The developed method showed great potential for classifying the handedness of the author of disputed handwriting, thus eliminating individuals as text authors or narrowing down the pool of potential authors.

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t "时间通过笔画和斜线研究手性。
本研究调查了左撇子和右撇子笔迹的笔画和斜率特征。对内部样本(n = 64)的笔画(字母 t、f、đ 和 H)和斜率(字母 t、f、l、d 和 g)方向进行了分析,发现两组之间存在显著的统计学差异(p ≤ 0.05)。右撇子主要表现为从左到右的笔画(98%-100%),而左撇子则表现出更大的差异性。虽然对大多数字母的分析具有统计学意义,但斜率方向并没有表现出一致的模式。根据字母 "t "的平均笔画,建立了一个逻辑回归模型,并在同一样本上进行了验证,以对惯用手进行分类。该模型在一个公开的笔迹数据库中的样本(n = 252)上进行了进一步测试。如果该模型将样本归类为左手书写,其正确率为 100%。相反,当模型将书写归类为右手书写时,根据验证样本的不同,正确率在 73%-97% 之间。如果超过 36% 的字母 "t "的笔画从右到左,模型就会将书写归类为左撇子书写,反之,则归类为右撇子书写。所开发的方法在对有争议笔迹的作者的手型进行分类方面显示出巨大的潜力,从而排除了作为文本作者的个人或缩小了潜在作者的范围。
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来源期刊
Journal of forensic sciences
Journal of forensic sciences 医学-医学:法
CiteScore
4.00
自引率
12.50%
发文量
215
审稿时长
2 months
期刊介绍: The Journal of Forensic Sciences (JFS) is the official publication of the American Academy of Forensic Sciences (AAFS). It is devoted to the publication of original investigations, observations, scholarly inquiries and reviews in various branches of the forensic sciences. These include anthropology, criminalistics, digital and multimedia sciences, engineering and applied sciences, pathology/biology, psychiatry and behavioral science, jurisprudence, odontology, questioned documents, and toxicology. Similar submissions dealing with forensic aspects of other sciences and the social sciences are also accepted, as are submissions dealing with scientifically sound emerging science disciplines. The content and/or views expressed in the JFS are not necessarily those of the AAFS, the JFS Editorial Board, the organizations with which authors are affiliated, or the publisher of JFS. All manuscript submissions are double-blind peer-reviewed.
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