Juan Rogelio Falguera

São Paulo State University | Unesp

Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common mistake. The most popular and extensively used methods, the minutiae-based, do not perform well on poor-quality images and when just...

Many methods based on biometrics such as fingerprint, face, iris, and retina have been proposed for person identification. However, for deceased individuals, such biometric measurements are not available. In such cases, parts of the human skeleton can be used for identification, such as dental records, thorax, vertebrae, shoulder, and frontal sinus...

It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This has stimulated the proposition of measurements of the frontal sinus pattern, obtained from x-ray films, for manual human skeletal identification. The goal of this project is to investigate the best...

It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This paper presents a frontal sinus recognition method, for human identification, based on DIFT and Shape Context algorithms. Experimental results show the effectiveness of the proposed method.