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Facial surgeries are inevitably increasing in the modern society due to factors such as consciousness for beauty/appearance either to correct the deformed structure as a result of the injury, trauma or natural process of aging. These surgical changes in the facial structure result in modified appearance of a person, which cannot be modelled using morphological or mathematical approaches. These changes...
Wide acceptance of biometrics as an authentication mode has led to investigation of multiple modalities such as face, periocular, iris for the long term robustness. Due to various deformities arising out of deteriorating health, need for enhancing the beauty by choice or to fix the injury as a result of trauma or aging, people tend to undergo surgery. However, such surgeries do not guarantee the restoration...
Recent research in texture-based ear recognition also indicates that ear detection and texture-based ear recognition are robust against signal degradation and encoding artefacts. Based on these findings, we further investigate and compare the performance of texture descriptors for ear recognition and seek to explore possibilities to complement texture descriptors with depth information. On the basis...
The outer ear has been established as a stable and unique biometric characteristic, especially in the field of forensic image analysis. In the last decade, increasing efforts have been made for building automated authentication systems utilizing the outer ear. One essential processing step in these systems is the detection of the ear region. Automated ear detection faces a number of challenges, such...
In identity retrieval from crime scene images, the outer ear (auricle) has ever since been regarded as a valuable characteristic. Because of its unique and permanent shape, the auricle also attracted the attention of researches in the field of biometrics over the last years. Since then, numerous pattern recognition techniques have been applied to ear images but similarly to face recognition, rotation...
Although a number of different ear recognition techniques have been proposed, not much work has been done in the field of ear detection. In this work we present a new ear detection approach for 3D profile images based on surface curvature and semantic analysis of edge-patterns. The algorithm applies edge-based detection techniques, which are known from 2D approaches, to a 3D data model. As an additional...
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