【摘要】 人类耳廓形态结构复杂，兼具个体独特性与相对稳定性，在法医学领域具有重要的研究价值。耳廓图像具备非侵入性、易获取及低成本的优势，为法医实践提供了可靠的数据支持。随着计算机视觉技术的迅速发展，耳廓图像的各类特征不断被挖掘，提高了其在法医学领域的应用价值。本文对耳廓图像各类特征提取方法进行归纳梳理，综述了耳廓特征在法医个体识别、性别预测、年龄推断、亲缘关系验证及法医DNA表型方向的研究进展与所面临的挑战，旨在推动耳廓在法医学领域的广泛应用。更多还原

【Abstract】 The human auricle possesses a complex morphological structure characterized by both individual uniqueness and relative stability, rendering it of significant research value in forensic science. As a biometric modality, auricle images offer advantages such as non-invasiveness, accessibility, and low cost, providing reliable data support for forensic practice. With the rapid advancement of computer vision technology, the extraction of diverse features from auricle images has been continuously refined, enhancing their utility in forensic applications. This paper systematically categorizes different methods for auricular feature extraction and reviews the research progress and challenges in areas such as forensic individual identification, sex prediction, age estimation, kinship verification, and forensic DNA phenotyping. This review aims to promote the widespread application of auricular biometrics within the forensic domain.更多还原