Mutalik Vimi S, Menon Aparna, Jayalakshmi N, Kamath Asha, Raghu A R
Department of Oral Pathology, Manipal College of Dental Sciences, Manipal University, Manipal, Karnataka, India.
J Forensic Dent Sci. 2013 Jan;5(1):2-6. doi: 10.4103/0975-1475.114535.
Identification is of paramount importance in any forensic investigation. Positive identification of living or deceased using distinctive traits is a cornerstone of forensic science. The uniqueness of these patterns and subtle distinction between traits has offered worthy supplemental tools in establishing the true nature of facts.
The first aim of our study was to determine the most common pattern of lip prints, palatal rugae, and finger prints in the study subjects. Secondly, to determine if any specific pattern of lip print, palatal rugae, or the finger print concurs in individuals, and thereby establish a database of these prototypes for human identification from a defined cohort.
The sample size comprised 100 female students of a dental college staying together in the hostel. Lip prints were recorded on a white bond sheet using lipstick, palatal rugae on dental casts, and finger prints using printer's blue ink.
Our observation suggested that the reticular pattern of lip print, the wavy pattern of palatal rugae, and the loop pattern of finger prints were the predominant patterns. Correlation of the three parameters did not reveal significant differences.
This approach of human identification utilizing conventional techniques and relevant parameters is pertinent in defined groups. However, larger representative sample with robust analytical tools may provide a necessary blueprint of human identification.
在任何法医调查中,身份识别都至关重要。利用独特特征对生者或死者进行准确身份识别是法医学的基石。这些模式的独特性以及特征之间的细微差别为确定事实的真实性质提供了有价值的辅助工具。
我们研究的首要目的是确定研究对象中唇纹、腭皱襞和指纹最常见的模式。其次,确定个体中是否存在唇纹、腭皱襞或指纹的任何特定模式一致的情况,从而为从特定队列中进行人类身份识别建立这些原型的数据库。
样本量包括100名一起住在宿舍的牙科学院女学生。用口红在白色债券纸上记录唇纹,在石膏模型上记录腭皱襞,用印刷蓝墨水记录指纹。
我们的观察表明,唇纹的网状模式、腭皱襞的波浪状模式和指纹的环状模式是主要模式。这三个参数的相关性未显示出显著差异。
这种利用传统技术和相关参数进行人类身份识别的方法在特定群体中是相关的。然而,具有强大分析工具的更大代表性样本可能会提供人类身份识别的必要蓝图。