Biometric Recognition of Personality based on Spiral Computed Tomography Data
| Autor: | Vitaliy Gargin, R. Nazaryan, Victoriia Alekseeva, Alina Nechyporenko |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Structure (mathematical logic)
Biometrics Computer science Process (engineering) business.industry media_common.quotation_subject Machine learning computer.software_genre Convolutional neural network Identification (information) Identity (object-oriented programming) Redundancy (engineering) Artificial intelligence Function (engineering) business computer media_common |
| Zdroj: | 2021 IEEE 16th International Conference on the Experience of Designing and Application of CAD Systems (CADSM). |
| DOI: | 10.1109/cadsm52681.2021.9385267 |
| Popis: | The problem of identification of a person occupies a significant place in forensic science. The aim of our study was to detect features of the paranasal sinuses (PNSs) structure, which helps in recognition of a person. The study involved 332 male and female patients without complaints concerning the function of ENT organs. This article discusses the issues of personal identification by the parameters of the PNSs. For this, the parameters were determined and calculated. Our further work will be also focused on investigation and comparison of existing convolutional neural network (CNN) architectures in order to choose the most efficient ones in terms of evaluation and prediction aspects. Further research will be required to validate the efficiency of the proposed approaches using larger databases with more SCT images as well as attributes that is linked with the identity to avoid the redundancy and improve the process of recognition. |
| Databáze: | OpenAIRE |
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