Exploring the Effective Ways of Educational and Teaching Management in Higher Education in the Context of Digital Health

Abstract

In order to improve the efficiency of teachers’ work and management of students in the context of digital health, touch screen terminal devices can be used in the teaching management system. The article firstly analyzes the characteristics of different modalities of fingers, and selects finger vein, knuckle pattern and fingerprint as fusion modalities. Combined with the randomness characteristic of finger biometrics itself, a method of constructing a global map of finger biometrics based on super pixel is proposed. On the basis of the proposed finger biometric global map, an improved Conv GNN model for deep feature expression of finger biometric global map is explored based on ChebyNet network, gPool graph pooling operation and graph readout method. Finally, analyzing the effect of finger feature recognition, good results are achieved in finger unimodal recognition, especially in the finger vein recognition task, the best effect is achieved when the number of hyper pixels is set to 200, and the accuracy rate reaches 0.9919. The recognition time is 0.25ms, which is of excellent level. Therefore, the ideas and algorithms proposed in this paper can better realize the functions required by the touch screen terminal of the school teaching management system and achieve the use objectives.