Research And Implementation Of Vehicle Anti Theft System Based On Iris And Fingerprint Recognition

At present,only a small number of high-end car anti-theft car industry has a better car anti-theft system.Because of the cost of many low-end cars,the reliability of the anti-theft device is low,leading to car theft occurs frequently.In order to solve the problem of the low cost of the anti theft system caused by the low cost of the car,this paper studies the automobile anti-theft system based on iris and fingerprint identification.These two biometric technologies have high security and accuracy,and can effectively guarantee the safety of the vehicle.In this paper,a new type of automobile ignition control and a new type of door lock control method are presented.In this method,the iris recognition technology and the fingerprint identification technology are combined with the CAN(Controller Area Network)bus network to realize the iris control engine start and the fingerprint identification.Fingerprint identification module is placed in the external control of the car door lock.Iris recognition module is placed in the automobile internal control engine start.It can start from the inside and outside the car,and improve the car anti-theft performance effectively.In order to improve the recognition rate of iris recognition algorithm,the algorithm of iris recognition is deeply studied.An improved Snake model combined with the improved GAC model is used to locate the iris image.Then,the feature of the local iris image is extracted by the feature of the Gauss elliptic filter,and then the feature matching is realized by HD(Hamming distance).The iris recognition algorithm is combined with the hardware system,and the communication of each unit is realized through the CAN bus,which controls the start of the automobile engine and the four wheel lock circuit.The feasibility and superiority of the iris recognition system is verified by the experiment of iris recognition system.In order to improve the recognition rate of fingerprint recognition,the traditional fingerprint recognition algorithm is improved.In order to locate the center of fingerprint feature more accurately,the eight channel Gabor filter bank is used to enhance the fingerprint image.Then,the gray level gradient co-occurrence matrix and normalized processing of the image gray value are established,and then the target region is extracted and the feature of the fingerprint is extracted.The fingerprint identification algorithm is combined with the hardware system,through the communication with the CAN bus to realize the control of the car door lock.The feasibility and superiority of the fingerprint identification system is verified by the experiment of the fingerprint identification system.