Anti-Spoofing: A Bio Finger Print Recognition Method using Pattern Matching Algorithm

Biometric authentication plays a key role in smart environments, with finger print recognition being one of the most common methods. Fingerprint readers scan and store fingerprint data, comparing it during login attempts to verify identity. While effective, these systems are vulnerable to spoofing using materials like wax, clay, or gelatine. Criminals sometimes exploit this technology to access personal information. Two main algorithms, minutiae matching and pattern matching, are used for recognition. Minutiae matching compares unique points on fingerprints, while pattern matching analyzes surface thickness, curvature, and ridge patterns. However, injuries to the fingercan make identification challenging. Advances now integrate sensors to detect pulse and sweat glands, enhancing security. Fingerprint recognition is widely employed in legal systems for identity management, but the technology relies heavily on intact surface patterns for accurate matching.