Laser triangulation can obtain the position of reflected laser light points based on the relationship between incident light and the normal of the measured surface. It is widely used in target recognition, displacement calculation, and other fields. Therefore, a face recognition method based on laser triangulation is studied to meet the requirements of accurate non-contact face recognition. This method uses laser triangulation to emit laser on the human face, obtaining different plane laser lines. Then, through the plane coordinate conversion method, the conversion relationship between the laser plane coordinate system and the image coordinate system is obtained. Then, a geometric structure model of facial recognition is established, and the geometric facial contour features of facial recognition are obtained using this model. Then, using the laser light point positioning algorithm, the facial recognition results are obtained by obtaining the local principal direction of the laser light point distribution. The experimental results show that the laser triangulation method is more accurate, and can effectively extract the contours of the mouth, nose, brow and eyes, and the accuracy of face recognition is higher. Even when the amount of data reaches 1 000 pieces, the recognition accuracy remains at 99.20%; When the amount of data reaches 1 000 pieces, compared with other comparison methods, the identification time of this method is the lowest, which is 0.21 s. In summary, the face recognition method based on laser triangulation provides an effective solution for security, intelligent interaction and other fields, and has broad application prospects and values.