Bank Locker System Using Fingerprint Authentication & Image Processing

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International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 06 | Jun 2022

www.irjet.net

e-ISSN: 2395-0056 p-ISSN: 2395-0072

Bank Locker System Using Fingerprint Authentication & Image Processing Dipti Balasaheb Gaikwad 1, Rutuja Deepak Sabade 2, Prof. Pachhade R. C.3 1,2Students

of Computer Engineering, Vishwabharati Academy’s College of Engineering, Ahmednagar, India. 3Professor of Vishwabharati Academy’s College of Engineering, Ahmednagar, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - Nowadays, bank and locker theft are frequently in computer hardware, programming and DIY-Do-it Yourself projects. The Raspberry Pi is manufactured in three board configurations through licensed manufacturing deals with Newark element14 (Premier Farnell), RS Components and Egoman. These companies sell the Raspberry Pi online. Egoman produces a version for distribution solely in China and Taiwan, which can be distinguished from other Pis by their red coloring and lack of FCC/CE marks. The hardware is the same across all manufacturers. The Raspberry Pi has a Broadcom BCM2835 system on a chip (SoC), which includes an ARM1176JZF-S 700 MHz processor, VideoCore IV GPU and was originally shipped with 256 megabytes of RAM, later upgraded (Model B & Model B+) to 512 MB. It does not include a built-in hard disk or solid-state drive, but it uses an SD card for booting and persistent storage, with the Model B+ using a MicroSD. The foundation provides debian and arch linux arm distributions for download. tools are available for python as the main programming language, with support for bbc basic (via the risc os image or the brandy basic clone for linux), c, java and perl.

circumstance this means our locker is vulnerable to robbery since it has no ultimate solution rather than a lock and key. Currently, many of the banks use two secret keys to open the lockers. One key is with the user and another key is with the bank person. This system is having many drawbacks. There is a chance of losing the key which make the system to be insecure and copy of keys may lead to unauthorized access of the locker. So in order to overcome that we are introducing Locker Security System based on Face Recognition and fingerprint technology, which can be used in Banks, Security Offices and Homes for giving protection to expensive possessions. In this system, only the authorized person can access the valuable things like money, licenses and jewels from locker. Face Recognition is done by using active appearance model algorithm with CNN prediction, which is used to identify the persons and verify their identity with the Raspberry Pi processor. Fingerprint or biometric technologies are combined together for accessing the locker securely. When an authorized person tries to access the locker, the system will shows unauthorised access. If he does any offensive acts on the locker, it will be sensed by the fingerprint sensor and the sensor will send the control signal to Raspberry pi processor and it will generate unauthorized access.

Currently, passwords, Personal Identification Numbers (4digit PIN numbers) or identification cards are used for personal identification. However, cards can be stolen, and passwords and numbers can be guessed or forgotten. To solve these problems, face recognition and biometric authentication technology which identifies people by their unique biological information is attracting attention. Biometrics can be defined as recognizing and identifying a person based on physiological or behavioral characteristics. In biometric authentication, an account holder’s body characteristics or behaviors (habits) are registered in a database and then compared with others who may try to access that account to see if the attempt is legitimate. Fujitsu has researched and developed biometric authentication technology focusing on the methods: fingerprints, faces, voiceprints.

Key Words: Raspberry pi, face recognition, biometric, fingerprint.

INTRODUCTION Security is of primary concern and in this busy, competitive world, human cannot find ways to provide security to his confidential belongings manually. Instead, he finds an alternative which can provide a full-fledged security as well as atomized. In the ubiquitous network society, where individuals can easily access their information anytime and anywhere, people are also faced with the risk that others can easily access the same information anytime and anywhere. Because of this risk, personal identification technology, which can distinguish between registered legitimate users and imposters, is now generating interest.

LITERATURE SURVEY & METHODOLOGY Siddique Reza Khan and et al. Have proposed a system contains sensors to detect obstacle, touch, heat, smoke, sound. The whole system is controlled by a PIC microcontroller 16F76. It collects information from the sensors, makes a decision and sends SMS to a corresponding number by using a GSM modem. If it finds any interruption in its sensors like if the IR is interrupted then PIC will send a SMS to the home

Raspberry Pi is a credit-card sized computer manufactured and designed in the United Kingdom by the Raspberry Pi foundation with the intention of teaching basic computer science to school students and every other person interested

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