The emerging biometric technology has become an indispensable part of personal identification and authentication systems. With the increasing demand for safer and more reliable identification methods, biometric technology has been developed and improved to ensure the accuracy, speed, and non-invasive nature of recognition. Finger vein recognition is one of the latest and most advanced biometric recognition technologies, which has aroused great interest among researchers and the industry. This article investigates the performance and accuracy of finger vein recognition compared to other biometric technologies such as facial recognition, fingerprint recognition, iris recognition, and hand geometry.
Finger vein recognition is a biometric technology that uses near-infrared light to capture hand vein images from a depth of 2-5mm. Venous patterns are unique to individuals and do not change over time or environmental factors. Finger vein recognition is a non-invasive technology that is convenient and easy to use.
Face algorithm is a biometric technology that uses mathematical algorithms to detect, analyze, and compare facial features such as eyes, nose, mouth, and cheeks. Facial recognition is commonly used for monitoring, recognition, and identity verification purposes.
Fingerprint recognition algorithm is a biometric technology that uses ridges and valleys on fingertips to identify individuals. This technology is widely used and accepted because fingerprints are unique to individuals and do not change over time.
Iris recognition algorithm is a biometric technology that uses individual unique iris patterns to identify them. The iris is the colored part of the eye around the pupils. Iris recognition has high accuracy and is widely used in high security environments.
Hand geometry is a biometric technology that measures the shape, size, and finger length of an individual's hand. Hand geometry is widely used in physical access control and attendance control systems.
Compared with other biometric technologies, finger vein recognition has a high level of accuracy and performance. According to research, the accuracy of finger vein recognition is over 95%. Compared to other biometric technologies, this technology is also fast, safe, and convenient.
Finger vein recognition is a new advanced biometric technology that exhibits a high level of accuracy and performance compared to other biometric technologies. This technology has the characteristics of non-invasive, user-friendly, fast, and secure, and is suitable for various identity recognition and authentication applications. With the increasing demand for safe and reliable recognition technologies, the adoption of finger vein recognition is expected to increase in the future.
