Facial beauty prediction (FBP), as a frontier topic in the domain of artificial intelligence regarding anthropology, has witnessed some good results as deep learning technology progressively develops. However, it is still limited by the complexity of the deep structure network in need of a large number of parameters and high dimensions, easily leading to a great consumption of time. To solve this problem, this paper proposes a fast training FBP method based on local feature fusion and broad learning system (BLS). Firstly, two-dimensional principal component analysis (2DPCA) is employed to reduce the dimension of the local texture image so as to lessen its redundancy. Secondly, local feature fusion method is adopted to extract more advanced features through avoiding the effects from unstable illumination, individual differences, and various postures. Finally, extensional feature eigenvectors are input to the broad learning network to train an efficient FBP model, which effectively shortens operational time and improve its preciseness. Extensive experiments with the proposed method on large scale Asian female beauty database (LSAFBD) can be conducted within 13.33s while sustaining an accuracy of 58.97%, impressively outstripping other state-of-the-art methods in training speed. INDEX TERMS Facial beauty prediction (FBP); local feature fusion; broad learning system (BLS);

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Abstract-A building safety management system based on image processing technology, which includes the license plate recognition, face recognition, and Radio Frequency Identification(RFID) systems are investigated in this paper. The system integrates three functional capabilities, which can effectively control access to user identity and to control management building security. The image technology is used to do license plate and facerecognition. In order to recognize the license plate and face thecolor space conversion, segmentation, and image processing technology is applied. Finally, the integration of RFID image processing is applied to automatic security management system. Only the identified users can pass through the gate of building to make sure the security.

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