Recognition of Fingerprint Biometric System Access Control for Car Memory Settings Through Artificial Neural Networks
Recognition and authentication are important factors for implementation in every computerized system. This particularly plays a significant role in electronic banking and luxurious cars. PIN code or key can be lost or stolen by an imposter. Therefore, the
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Abstract. Recognition and authentication are important factors for implementation in every computerized system. This particularly plays a significant role in electronic banking and luxurious cars. PIN code or key can be lost or stolen by an imposter. Therefore, the characteristics of humans are the best recognition points to authenticate a user. Artificial Neural Network (ANN) is the only computational network which works as the working of human brain and its neurons function by adopting the features of a human. In this research, we have proposed an algorithm for training of fingerprint biometric system by implementing Artificial Neural Networks for the recognition of finger features of the human. The method includes detection of minutiae values of the ridge termination and bifurcation points. The multilayer feed forward network is the successful network with error back propagation algorithm for pattern recognition through supervised learning. This network is being used in many applications of recognition and control. This architecture is applicable for finger minutiae extraction for recognition of car user and its features through memory settings. This network gives 99% correct classification for recognition of the user. Keywords: Artificial Neural Networks Biometric processor Multilayer feed forward network Pattern recognition
1 Introduction In this modern world, the functionality of electronic systems is increasing with every passing day. Electronic systems are based on automation techniques which reduce the human efforts. Thus, the efficiency of work is increased. The benefit of automating electronic systems is that the initial cost and efforts are greater with reduction of manual input, convenience and accuracy achieved in a long time. Automation has achieved by various means including mechanical, hydraulic, pneumatic, electrical, electronic and computers usually in combination [1]. Complicated systems, such as modern factories, airplanes, ships and automobile companies all use these combined techniques. The biggest benefit of automation is that it saves labor. However, it is also used to save energy and materials. Moreover, automation is to improve quality, accuracy and precision. Several researchers developed algorithms on driver behavioral characteristics to detect abnormal driving behaviors for automotive control applications [2–4]. © Springer Nature Switzerland AG 2019 K. Arai et al. (Eds.): FICC 2018, AISC 887, pp. 385–397, 2019. https://doi.org/10.1007/978-3-030-03405-4_26
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The Biometric is a field which relates to the human characteristics. All human are with different faces, structures [13] and even different fingerprints are used for national identification. The systems depending on fingerprint are very valuable for car security purposes. The biometric system is used at many places, like Florida USA. In the Walt Disney world amusement park, fingerprint biometric system is used for ensuring the presence of guests in each day. Car is the amazing transport technology in the world that is used
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