George Pallivathukal Renjith, Kumar Sameer, Joy Idiculla Jose, Kyaw Soe Htoo Htoo, Ke Yen Ying, Donald Preethy Mary, Ismail Noorliza Mastura
Oral Pathology, Manipal University College Malaysia, Melaka, MYS.
Community Medicine, Manipal University College Malaysia, Melaka, MYS.
Cureus. 2024 Apr 14;16(4):e58238. doi: 10.7759/cureus.58238. eCollection 2024 Apr.
Direct digital photography for lip print recording is a recent trend, and there is a dearth of systematic research on the analysis of the recorded prints with existing clip print classification systems.
This study aims to compare the accuracy of the digital photographic method in lip print recording, comparing it with traditional methods, and assessing the suitability of commonly used lip print classification for analyzing lip prints recorded by photographic method.
A total of 72 participants aged between 20 and 26 were included. The lip print recording process involved photographing the lips without and with lipstick, followed by recording the lip print with cellophane tape on bond paper. The prints collected using the different methods were analyzed and compared for agreement, and the data were analyzed statistically.
Inter-observer reliability was high for all methods (>0.800). The distribution of lip print patterns differed across the methods, suggesting a potential influence of the recording technique. The agreement between the conventional method and both digital methods was moderate (kappa=0.449-0.517). The agreement between digital methods with and without enhancement was also moderate (kappa=0.718). Notably, digital photographs with enhancement tend to have a higher positive agreement for several lip print types.
Digital photography is a potential method for lip print recording. However, this study highlights the need for the calibration of lip print classification systems for digitally recorded lip prints. Further research is needed to refine the use of digital photography in forensic lip print analysis and to explore its integration with artificial intelligence for biometric identification.
使用直接数码摄影记录唇纹是最近的一种趋势，而对于利用现有的唇纹分类系统分析所记录的唇纹，缺乏系统性研究。
本研究旨在比较数码摄影方法在唇纹记录中的准确性，将其与传统方法进行比较，并评估常用唇纹分类对于分析通过摄影方法记录的唇纹的适用性。
共纳入72名年龄在20至26岁之间的参与者。唇纹记录过程包括拍摄未涂口红和涂口红后的嘴唇，随后用玻璃纸胶带在绘图纸上记录唇纹。对使用不同方法收集的唇纹进行分析和比较以确定一致性，并对数据进行统计学分析。
所有方法的观察者间信度都很高（>0.800）。不同方法的唇纹模式分布有所不同，表明记录技术可能存在影响。传统方法与两种数码方法之间的一致性为中等（kappa=0.449-0.517）。有增强处理和无增强处理的数码方法之间的一致性也为中等（kappa=0.718）。值得注意的是，经过增强处理的数码照片对于几种唇纹类型往往具有更高的阳性一致性。
数码摄影是一种记录唇纹的潜在方法。然而，本研究强调需要对数码记录的唇纹校准唇纹分类系统。需要进一步研究以完善数码摄影在法医唇纹分析中的应用，并探索其与人工智能在生物特征识别中的整合。
