Fingerprint Using Histogram Oriented Gradient and Support Vector Machine

Abstract

Biometric security uses unique physiological and behavioral characteristics, like DNA and signatures, to identify individuals. Traditional identification methods are unreliable, so biometric systems offer a more dependable solution. They are accurate and not easily forgotten, making them convenient. Fingerprint verification was one of the first methods, but it requires a complex process to ensure accuracy. In this paper, the researchers introduced SVM as a Matching Technique with the help of HOG to extract the feature and Preprocessing method. Our study has shown significant results and highlights the powerful role of SVM in the matching process.