Bhuvaneshwari S, Chand Shreetapa, Chaudhari Dipak, Manohar Balaji, Buyan Lipsa, Srinivasan Soundarya
Kalinga Institute of Dental Sciences, Bhubaneswar, Odisha, India.
General Dentist, DDS[University of California], Oakland, California, United States.
J Pharm Bioallied Sci. 2023 Jul;15(Suppl 1):S326-S329. doi: 10.4103/jpbs.jpbs_526_22. Epub 2023 Jul 5.
Anthropometry, fingerprints, age estimation, gender determination, blood types, DNA, and dental features are examples of traditional techniques for identifying a person. The present study aimed toward observing the patterns of fingerprints and their reliability toward human identification. A retrospective study was conducted in a tertiary care unit in Bhubaneswar city. Fingerprints were recorded, and the individual identification mark was noted for each individual. Reporting of the patterns was done. Sir Henry Galton's classification was used to study the fingerprint patterns. IBM Statistical Package for Social Sciences was used for the statistical analysis. Type A was the most common type seen for the right-hand little finger. Type A was the most common type seen for the left-hand little finger; Type C was the most common type seen for the left-hand ring finger. Statistically significant correlations between gender and dermatoglyphics were found, supporting their usage as trustworthy forensic evidence.
人体测量学、指纹、年龄估计、性别判定、血型、DNA和牙齿特征都是用于识别个人的传统技术示例。本研究旨在观察指纹模式及其在身份识别方面的可靠性。在布巴内斯瓦尔市的一家三级护理单位进行了一项回顾性研究。记录了指纹,并为每个人记录了个人识别标记。对指纹模式进行了报告。采用亨利·高尔顿爵士的分类法来研究指纹模式。使用IBM社会科学统计软件包进行统计分析。A型是右手小指最常见的类型。A型是左手小指最常见的类型;C型是左手无名指最常见的类型。发现性别与皮纹之间存在统计学上的显著相关性,支持将其用作可靠的法医证据。