Human Verification System Based on Fuzzy Rule

The integration of humans with computers is advancing biometric systems, particularly in utilizing DNA biometrics for human verification and identification, especially in forensic contexts. DNA analysis has significantly improved forensic examinations, aiding in detecting crimes such as murders and rapes and identifying unidentified corpses. Additionally, DNA profile analysis plays a crucial role in determining paternity. The main objective of this research is to develop a human identification system that is fast, cost-effective, error-free, and equipped with user-friendly graphical interfaces. The system aims to enhance accuracy in forensic applications, utilizing fuzzy logic to improve the identification process through the use of fuzzy inference. The proposed system employs fuzzy logic to enhance accuracy in DNA motif identification. Multiple experiments validate the system's performance, demonstrating its high accuracy and scalability in handling large datasets. The experiments conducted have shown that the proposed system offers essential functions for forensic applications, significantly contributing to genetic and forensic processes. The system demonstrated high accuracy and scalability, with an improvement of 27% in accuracy compared to pre-existing systems. The proposed system stands out for its speed, cost-effectiveness, and error-free operation, with a user-friendly graphical interface.