Age Related Variation in Feminine Handwriting among Population Groups of Delhi, India

Author:

Deepani Vijit,Kapoor A.K,Saini Monika

Abstract

Background: Handwriting is a uniquely human trait which progresses and evolves during lifetime and declines with age. The aim of the present paper is to assess variation in handwriting features with age among female writers of select population groups of Delhi, India (for roman script). Method: A total of 405 handwritten samples were obtained from female (n=405) writers in the age range of 14-60 years. Writers were stratified into three age groups (≤ 18 years, 19-38 years and ≥39 years) in accordance to population group. Macro- and micro-features of handwriting were extracted from the scanned handwritten samples. These features were subjected to statistical analysis in the objective driven research. Result: The mean difference among age groups for pen pressure, height of handwriting and handwriting connectivity was statistically significant (p < 0.001). Significant difference was also observed among age groups for all micro-features of handwriting selected in the present study, namely, nature of ‘i’ – dot (p < 0.001), nature of lower loop of ‘g’ (p < 0.01); nature of‘d’- stem (p < 0.01), nature of ‘m’-hump (p < 0.05) and ‘r’- shape (p < 0.001). Conclusion: The present study showed that there was a significant variation in both macro- and micro- features of handwriting with respect to age of the writer. Pen pressure, height of handwriting and handwriting connectivity were prominent macro-features that addressed age related variation in handwriting. In addition, significant variation was observed among age groups for all micro-features of handwriting selected in the present study. The present study has immense forensic significance as it can assist to analyze age of the writer on the basis of handwriting characteristics.

Publisher

Annex Publishers, LLC

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Offline Handwritten Signature Analysis for Age Classification using Deep Features;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3