A Study on Hair Density Analysis for Androgenic Hair Pattern of Low-Resolution Leg Images

Abstract

Androgenic hair which is also named as body hair can be used for identifying criminals and victims. It is a new soft biometric trait. Different with skin mark, tattoo, blood vessels, and so on, androgenic hair is suitable for low-resolution images. Recently, some researches proved that the androgenic hair pattern extracted from low-resolution images also has valuable discriminative power. In the features of androgenic hair pattern that used for identification, hair density which did not separately be described in the previous works is an important feature. This paper focuses on the hair density, describes, and extracts density feature explicitly. The different grade densities are classified, and the density difference is captured by the density descriptors. The three density grades which are called high density, medium density, and low density are classified by the hair density classifier. In this paper, the grades of different densities are tried to use for modifying the affect of the defect in dynamic grid system. The performance of hair density is tested on forensic skin image database. The experiment result shows that the method is efficient.