Title: Double fingerprint accurate identification method of intelligent door lock based on spatio-temporal information feature fusion

Authors: Liuping Cai; Fenghui Huang

Addresses: College of Information Engineering, Guangzhou PanYu Polytechnic, 1342 Shiliang Road, PanYu District, Guangzhou 511483, China; Graduate School Department, St. Paul University Philippines, Mabini Street, Tuguegarao City, 3500 Cagayan, Philippines ' Guangdong Vocational College of Environmental Protection Engineering Training Center, No.98, Guidan Xi Road, Nanhai District, Foshan 528216, Guangdong, China

Abstract: Aiming at the problems of low recognition accuracy and large feature extraction error in the dual fingerprint recognition of intelligent door lock, a dual fingerprint accurate recognition method of intelligent door lock based on spatio-temporal information feature fusion is proposed. Set the standardised form of dual fingerprint image, calculate the gray mean and variance of fingerprint image, and complete fingerprint image pre-processing. According to the coordinate relationship of the dual fingerprint direction field of the intelligent door lock, the dual fingerprint block of the intelligent door lock is divided, and the feature extraction is completed by solving the gradient value of the dual fingerprint block. The temporal and spatial features of fingerprint images are fused, and the fusion results are corrected with the help of calibration function to complete accurate fingerprint identification. The results show that the recognition accuracy of the proposed method is good.

Keywords: spatiotemporal information feature fusion; intelligent door lock; double fingerprint; equalisation; calibration function.

DOI: 10.1504/IJPD.2023.135744

International Journal of Product Development, 2023 Vol.27 No.4, pp.356 - 369

Received: 24 Aug 2021
Accepted: 18 Feb 2022
Published online: 04 Jan 2024 *

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