Framework and estimation of ear biometrics detection for digital forensic applications

Currently, forensic electronics and computers become an attractive scientific and engineering application area. They are applied to determine and identify accused or evidences used in court. However, the determination, verification and identification processes have been manually executed by experts, where they take time to come out conclusions and results. With rapidly increment of illegal cases, reducing the processing time or verifying step to identify possible suspects is significantly importance to increase efficiency. This paper first introduces a framework to identify possible suspects purpose to primary screening in forensic application. The identification of human ears in several degrees based on edge detection techniques is second considered. With the edge detection techniques corresponding to their suitable input parameters, our experimental results, with a 0.3 threshold and a 0.75 factor k, have reported that the human´s ear identities can be detected and extracted.