Biometría por detección de luz infrarroja en reflexión y transmisión

Abstract

The field of research in the detection and processing of biometric data is very current. Biometrics is the measurement of data obtained by physical or behavioral characteristics of individuals with the purpose of comparing them with a database and determining the similarity between them as proof of identity. Among the physical biometric data are the veins of the fingers or palm of the hand obtained by optical means under infrared illumination. The great advantages of using finger or hand veins are the images of the veins remain unchanged with age, the detection systems are not dangerous to the user’s health, the condition of the skin such as tone and burns is not affected. The venous pattern presents a challenge for criminals to falsify or replace through surgery. Infrared light can penetrate human skin, and 880 to 930 nm provides good contrast due to the absorption of these wavelengths by the hemoglobin contained in the blood. A finger or hand vein image recognition system contains 3 processes: preprocessing, pattern extraction, matching by machine learning or by conventional methods or the combination of both. The data set is very important, it is the foundation of biometric research; However, until now standardization has been very difficult since it is a recent technology and has not been widely discussed.