主管:中华人民共和国司法部
主办:司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N

中国司法鉴定 ›› 2023 ›› Issue (6): 56-61.DOI: 10.3969/j.issn.1671-2072.2023.06.008

• 鉴定科学 • 上一篇    下一篇

局部指纹内汗孔特征识别准确性研究

左 琦1,马龙飞1,董毓恒2   

  1. 1.河南警察学院 刑事科学技术系,河南 郑州 450046; 2.汤阴县公安局,河南 安阳 456150
  • 收稿日期:2022-12-12 出版日期:2023-11-15 发布日期:2023-11-16
  • 作者简介:左琦(1970—),女,副教授,硕士,主要从事指纹检验鉴定研究。E-mail:1431550789@qq.com
  • 基金资助:
    河南警察学院科研项目(HNJY-2023-63)。

Study on the Accuracy of Sweat Pore Feature Identification in Partial Fingerprint

ZUO Qi1, MA Longfei1, DONG Yuheng2   

  1. 1. Department of Criminal Science and Technology, Henan Police College, Zhengzhou 450046, China; 2. Tangyin County Public Security Bureau, Anyang 456150, China
  • Received:2022-12-12 Published:2023-11-15 Online:2023-11-16

摘要: 目的 探讨汗孔特征在局部指纹内识别的准确性,为汗孔特征的应用提供依据。方法 通过对四种承痕客体上遗留手印进行显现、汗孔标注、统计局部指纹内汗孔特征标识的正确率、错误率、漏标率,比较不同客体、不同显现方法对汗孔识别的影响。结果 局部指纹内汗孔识别的平均正确率为92.30 %,平均错误率为7.70 %,平均漏标率为7.39 %,手印面积大小、承痕客体性质、显现方法以及人为因素对汗孔识别准确性有一定影响。结论 在一定条件下,小面积局部指纹内汗孔特征可以得到有效识别,且识别的准确性较高,汗孔特征识别准确性研究为利用汗孔特征辅助手印鉴定提供了依据。

关键词: 汗孔特征, 局部指纹, 识别, 准确性

Abstract: Objective This paper discussed the accuracy of sweat pore identification in partial fingerprint, so as to provide basis for the use of sweat pore feature. Methods Fingerprints left on four types of objects were developed. The sweat pores on the fingerprints were marked and counted. The correct rate, error rate and missing rate of sweat pore feature marks in partial fingerprint were studied, and the effects of different objects and development methods on sweat pore recognition were compared. Results The average accuracy rate of sweat pore identification in partial fingerprint was 92.30 %, the average error rate was 7.70 %, and the average missing rate was 7.39 %. The size of fingerprint area, the nature of trace object and the developing methods were considered to have some impact on the accuracy of identification. Conclusion Under certain conditions, the sweat pore features in a small area can be effectively recognized, and the recognition accuracy is high. This research on the recognition accuracy of sweat pore provides basis for the fingerprint identification using sweat pore features.

Key words: sweat pore feature, partial fingerprint, identification, accuracy

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