Szabó, T. and Kátai, László (2025) Integrated facial recogmition, OCR, and cryptographic technologies for secure digital identification: potential applications in agriculture. HUNGARIAN AGRICULTURAL ENGINEERING (44). pp. 43-47. ISSN 0864-7410
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Abstract
This study presents the design and implementation of an integrated digital identification system combining facial recognition, optical character recognition (OCR), liveness detection, and cryptographic security mechanisms. Originally developed for the financial industry, this system by ID&Trust Ltd. demonstrates strong potential for agricultural applications, including secure operator authentication, traceable workforce management, and data integrity in smart farming ecosystems. Pilot experiments and architectural analysis reveal high accuracy and interoperability under real-world agricultural conditions. The findings contribute to a broader understanding of how biometric and cryptographic convergence supports digital transformation in agriculture.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | facial recognition, OCR, cryptographic technologies, digital identification, smart agriculture |
| Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 05 Dec 2025 07:24 |
| Last Modified: | 05 Dec 2025 07:24 |
| URI: | https://real.mtak.hu/id/eprint/230301 |
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