An electric vehicle fingerprint identification intelligent anti-theft system

Abstract

The invention discloses an electric vehicle fingerprint identification intelligent anti-theft system. The system uses the feature point information, the vector field information and the fingerprint texture information of the fingerprint image to carry out multi-feature point fusion matching, which greatly reduces the false recognition caused by the false features in the fingerprint identificationmatching process, and enhances the safety of the electric vehicle fingerprint identification. Anti-cracking security mechanism is added to that identification matching process, when the number of times of continuous identification of the matching failure exceed a set value, the fingerprint identification is refused again, and the malicious cracking is effectively prevented; Fingerprint identification module with identification feedback function can give users more intuitive fingerprint identification feedback; The fingerprint management is carried out by using the virtual menu composed of thelogic operation of the traditional remote controller keys or the physical switch on the whole vehicle and the phonetic system, without adding additional visual equipment and input keys, which is simple, easy to use and low in cost. Virtual menu access must be authorized by the first administrator to access, effectively prevent the illegal management of fingerprints.

Description

technical field [0001] The invention relates to the field of electric vehicle security, in particular to an electric vehicle fingerprint identification intelligent anti-theft system. Background technique [0002] The fingerprint identification anti-theft system collects the owner's fingerprint through optical imaging or semiconductor induction, extracts the characteristic value, inputs it into the microprocessor for storage and comparison, and then issues various control instructions. Fingerprint anti-theft system Before starting the vehicle, the system will perform fingerprint identification authentication on the user. If unauthorized persons use the vehicle, the vehicle will not be able to start and an alarm will be issued. However, most of the current fingerprint identification and anti-theft systems are stored and compared based on a single fingerprint minutiae point feature method, which is prone to false features or missing features, resulting in misrecognition during ...

AI Technical Summary

Problems solved by technology

However, most of the current fingerprint identification and anti-theft systems are stored and compared based on a single fingerprint minutiae point feature method, which is prone to false features or missing features, resulting in misrecognition during the matching process and is easily cracked. The comparison algorithm has serious problems. Security loopholes, and the application environment of electric bicycles is very different from that of mobile phones and smart homes. Electric bicycles do not have a visual display system and key input system for fingerprint management, which brings great obstacles to the application of fingerprint recognition.

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