Abstract: Currently, in the art experiment teaching process, the safety supervision and intelligent decision-making means based on information technology are missing. Among the mainstream safety techniques, finger vein recognition has the advantages of living body recognition, high accuracy and convenience, which adapt to the application of art experiment teaching supervision. This paper proposes a novel finger vein recognition method combing traditional methods with soft biometrics to improves the recognition performance. Based on the novel method, an intelligent supervision system of art experiment teaching is proposed, which assists the management decision-making while realizing the experiment teaching supervision. The system effectively solves the common problems and comprehensively improves the supervision.