the traditional atm terminal customer recognition system...

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ISSN 2319-8885

Vol.03,Issue.50

December-2014,

Pages:10074-10081

Copyright @ 2014 IJSETR. All rights reserved.

The Traditional ATM Terminal Customer Recognition System Based

On Finger Print Recognition K.VEERA MOHAN

1, T.PUSHPA

2

1PG Scholar, Dept of Embedded Systems, Vignana Bharathi Institute of Technology, Ghatkesar, Hyderabad, TS, India,

E-mail: [email protected]. 2Assistant Professor, Dept of ECE, Vignana Bharathi Institute of Technology, Ghatkesar, Hyderabad, TS, India.

Abstract: To main aim of this project is, for solving the bugs of traditional ones, the author designs new ATM terminal

customer recognition systems. The chip of LPC2148 is used for the core of microprocessor in ARM7, furthermore, an improved

enhancement algorithm of fingerprint image increase the security that customer use the ATM machine. The purpose of this

project is to increase the security that customer use the ATM machine. Once user’s bank card is lost and the password is stolen,

the criminal will draw all cash in the shortest time, which will bring enormous financial losses to customer, so to rectify this

problem we are implementing this project. In the project a fingerprint recognition module is used which captures the fingerprint

image and converts into digital data. It is compared with fingerprint images stored in the database. When a match is found then

only any transaction can be done and thus ensures that only authorized person can only have access the atm card. The system

can accurately identify lively fingerprint and sends the illegal burglary information to the owner by the GSM network or to the

monitoring center of property management office. This project is built using LPC2148 microcontroller.

Keywords: ATM Terminal, ARM7, Fingerprint Recognition, Image Enhancement, Gabor Filtering.

I. INTRODUCTION

In this project an attempt has been made to develop the

ATM Terminal Design Based on Fingerprint Recognition

using the LPC2148 Microcontroller, Fingerprint module,

Smartcard module and GSM Network, Max232, Relay

Circuit. Now a day’s using the ATM (Automatic Teller

Machine) which provides customers with the convenient

banknote trading is very common. However, the financial

crime case rises repeatedly in recent years; a lot of criminals

tamper with the ATM terminal and steal user’s credit card

and password by illegal means. Once user’s bank card is lost

and the password is stolen, the criminal will draw all cash in

the shortest time, which will bring enormous financial

losses to customer. How to carry on the valid identity to the

customer becomes the focus in current financial circle.

Traditional ATM systems authenticate generally by using

the credit card and the password, the method has some

defects. Using credit card and password cannot verify the

client’s identity exactly. In recent years, the algorithm that

the fingerprint recognition continuously updated, which has

offered new verification means for us, the original password

authentication method combined with the biometric

identification technology verify the clients’ identity better

and achieve the purpose that use of ATM machines improve

the safety effectively.

The embedded ATM client authentication system is based

on fingerprint recognition which is designed after analyzed

existed ATM system. The arm chip is used as the core of

this embedded system which is associated with the

technologies of fingerprint recognition and current high

speed network communication. The purpose of this project

is to increase the security that customer use the ATM

machine. Once user’s bank card is lost and the password is

stolen, the criminal will draw all cash in the shortest time,

which will bring enormous financial losses to customer, so

to rectify this problem we are implementing this project.

As human fingerprints have been considered as a unique

signature certifying one's identity Fingerprint verification is

currently the most popular technique of biometric personal

identification. Fingerprint recognition or fingerprint

authentication refers to the automated method of verifying a

match between two human fingerprints. Fingerprints are one

of many forms of biometrics used to identify an individual

and verify their identity. In the project a fingerprint

recognition module is used which captures the fingerprint

image and converts into digital data. It is compared with

fingerprint images stored in the database. When a match is

found then only any transaction can be done and thus

ensures that only authorized person can only have access the

Atm card. The system can accurately identify lively

fingerprint and sends the illegal burglary information to the

owner by the GSM network or to the monitoring canter of

property management office. This project is built using

LPC2148 microcontroller.

II. LITERATURE SURVEY

For the traditional ATM terminal customer recognition

systems only rely on bank cards, passwords, and such

K.VEERA MOHAN, T.PUSHPA

International Journal of Scientific Engineering and Technology Research

Volume.03, IssueNo.50, December-2014, Pages: 10074-10081

identity verification methods which measures are not perfect

and functions are too single. For solving the bugs of

traditional ones, the author designs new ATM terminal

customer recognition systems. The chip of LPC2148 is used

for the core of ARM7 microcontroller, furthermore

password and improved enhancement algorithm of

fingerprint image increase the security that customer use the

ATM machine with the development of computer network

technology and e-commerce, the self-service banking

system has got extensive popularization with the

characteristic offering high-quality 24 hours service for

customer as shown in Fig.1. Nowadays, using the ATM

(Automatic Teller Machine) which provides customers with

the convenient banknote trading is very common. However,

the financial crime case rises repeatedly in recent years; a

lot of criminals tamper with the ATM terminal and steal

user's credit card and password by illegal means. Once

user's bank card is lost and the password is stolen, the

criminal will draw all cash in the shortest time, which will

bring enormous financial losses to customer. How to carry

on the valid identity to the customer becomes the focus in

current financial circle.

Traditional ATM systems authenticate generally by using

the credit card and the password, the method has some

defects. Using credit card and password cannot verify the

client's identity exactly. In recent years, the algorithm that

the fingerprint recognition continuously updated, which has

offered new verification means for us, the original password

authentication method combined with the biometric

identification technology verify the clients' identity better

and achieve the purpose that use of ATM machines improve

the safety effectively.

III. BLOCK DIAGRAM OF HARDWARE DESIGN

Fig.1. Block Diagram of ATM Terminal Design is Based

on Fingerprint Recognition.

A. Power Supply

Most of the digital logic circuits and processors work

only in low DC voltage, so power supply unit is required for

their accurate functioning. This supply unit of power

consists of transformer, rectifier, filter and a regulator. The

regulated power supply of about 230V is applied as input

which is step down to 12V by the transformer. Output of the

transformer is fed to bridge rectifier whose output would be

a pulsating dc voltage. The obtained dc voltage is then fed

to filter in order to remove all minimal ac components

present even after rectification. Filter output is given to

voltage regulator which results in pure constant dc voltage

that is required by the circuit as shown in Fig.2.

Fig.2. Power Supply.

B. ARM Processor

History: ARM (Acorn RISC machine) is a family of

instruction set architectures designed for computer

processors introduced by British company 'ARM Holdings'

in 1985. ARM was developed in 1980s by British company

Acorn computers which manufactured computers and was

used in personal computers. BBC Micro series of computers

were first to use ARM based coprocessor modules followed

by Acorn computers and later dominated by IBM PC.

In early days the available processors like Motorola 68000

and National semiconductor 32016 were unsuitable and

lacking. Then Acorn inspired by Berkeley RISC project,

decided to design a new architecture for its own processor.

Acorn RISC machine project started in October 1983 using

VLSI technology. First ARM silicon was produced on April

1985. The first ARM based computer 'Acorn Archimedes'

was released in 1987 and Acorn won "Queen's Award for

Technology" in 1992 for the ARM.

ARM Holdings develops architecture and Instruction set

for ARM based products. Companies like Apple,

Qualcomm, Nvidia, Samsung electronics and Texas

Instruments make chips that implement ARM architecture.

As of 2013, 10 billion ARM processors have been produced

and 50 billion in 2014 representing 95% of smart phones,

35% of Digital Televisions and Set Top Boxes, and 10% of

mobile computers. Based on architecture several cores have

been designed by ARM holdings, they are as follows in

Architecture - Core order. ARMv1- ARM1, ARMv2-

ARM2, ARM3, ARMv3- ARM6, ARM7, ARMv4- ARM8,

ARMv4T- ARM7TDMI, ARM9TDMI, ARMv5-ARM7EJ,

ARM9E, ARM10E, ARMv6- ARM11 and so on. Latest

architecture developed in 2011 was ARMv8-A with 64/32

bit width and ARM Cortex-A53, ARM Cortex A57 are the

cores designed by using this architecture. In our project we

use ARM7TDMI core which is 32-bit width.

The Traditional ATM Terminal Customer Recognition System Based On Finger Print Recognition



ARM7 Family: ARM7TDMI, ARM7TDMI-S, ARM720T,

and ARM7EJ-S processors come under ARM7 family. The

ARM7TDMI core is the most widely used 32-bit embedded

RISC microprocessor. Optimized cost and power of

ARM7TDMI makes most of the applications reliable and

effective with low power consumption, small size, and high

performance. The ARM7EJ-S processor is a synthesizable

core that provides all the features of the ARM7TDMI –

small size, optimized power and the thumb instruction set

including latest DSP extensions of ARM and enables

acceleration of java-based applications. Strong-Arm®

architecture software written for the ARM7TDMI processor

core is 100% binary-compatible with all members of the

ARM7 family. ARM7EJ-S is Forward-compatible with the

ARM9, ARM9E and ARM10 families along with products

of Intel’s Strong ARM and x scale architectures. Thus

designers can choose any of the available software-

compatible processors as per the requirement of the

application accounting price-performance. ARM

architecture is supported by the following:

Windows CE, Linux, palm OS and SYMBIAN OS

and other operating systems.

Above 40 RTOS, including Wind River’s vxworks,

qnx and mentor graphics’ vrtx etc.

Eda vendors which provide co-simulation tools.

Different kinds of software development tools.

ARM7TDMI:

Fig.3. ARM7TDMI Core Diagram.

Fig.3 shows the ARM7TDMI Core Diagram. It is based

on the Von- Neumann architecture with both instructions

and data carried by Data bus. Data from memory is accessed

by Load, store, and swap instructions. 8-bit, 16-bit, and 32-

bit data is carried.

C. LPC2148 Microcontroller

LPC2148 microcontroller board is based on a 16-bit/32-

bit ARM7TDMI-S CPU with real-time emulation and

embedded trace support, that combine microcontrollers with

embedded high-speed flash memory ranging from 32 KB to

512 KB. A 128-bit wide memory interface and unique

accelerator architecture enable 32-bit code execution at the

maximum clock rate. For critical code size applications, the

alternative 16-bit Thumb mode reduces code by more than

30% with minimal performance penalty. The meaning of

LPC is Low Power Low Cost microcontroller as shown in

Fig.4. This is 32 bit microcontroller manufactured by

Philips semiconductors (NXP). Due to their tiny size and

low power consumption, LPC2148 is ideal for applications

where miniaturization is a key requirement, such as access

control and point-of-sale.

Features of LPC2148 Microcontroller:

16-bit/32-bit ARM7TDMI-S microcontroller in a tiny

LQFP64 package.

8 KB to 40 KB of on-chip static RAM and 32 KB to

512 KB of on-chip flash memory; 128-bit wide

interface/accelerator enables high-speed 60 MHz

operation.

USB 2.0 Full-speed compliant device controller with 2

KB of endpoint RAM. In addition, the LPC2148

provides 8 KB of on-chip RAM accessible to USB by

DMA.

One or two (LPC2141/42 Vs, LPC2144/46/48) 10-bit

ADCs provide a total of 6/14 analog inputs, with

conversion times as low as 2.44 ms per channel.

Single 10-bit DAC provides variable analog output

(LPC2148 only).

Two 32-bit timers/external event counters (with four

capture and four compare channels each), PWM unit

(six outputs) and watchdog.

Low power Real-Time Clock (RTC) with independent

power and 32 kHz clock input.

D. RS 232 (Serial Port)

RS-232(Recommended Standard-232) is a telecommuni-

cations standard for binary serial communications between

devices. It supplies the roadmap for the way devices speak

to each other using serial ports. The devices are commonly

referred to as a DTE (data terminal equipment and) DCE

(data communications equipment); for example, a computer

and modem, respectively. In telecommunications, RS-232 is

a standard for serial communication transmission of data. It

formally defines the signals connecting between a DTE

(data terminal equipment) such as a computer terminal, and

a (data circuit-terminating equipment, originally defined as

data communication equipment), such as a modem. TheRS-

232 standard is commonly used in computer serial ports

.The standard defines the electrical characteristics and

timing of signals, the meaning of signals, and the physical

size and pin out of connectors. The current version of the

standard is TLA-232-F Interface between Data Terminal




Equipment and Data circuit-Terminating Equipment

Employing Serial Binary Data interchange, issued in 1997.

Fig.4. Block Diagram.

An RS-232 serial port was once a standard feature of a

personal computer, used for connections to modems,

printers, mice, data storage, uninterruptible power supplies,

and other peripheral devices as shown in Fig.5. However,

RS-232 is hampered by low transmission speed, and large

voltage swing, and large standard connectors, In modem

personal computers, USB has displaced RS-232 from most

of its peripheral interface roles, Many computers do not

come equipped with RS-232 ports and must use either an

external USB-to-RS-232 converter. RS-232 devices are

widely used, especially in industrial machines, networking

equipment and scientific instruments.

RS 232 Pin Diagram:

Fig.5. RS-232 pin diagram.

E. Liquid Crystal Display (LCD)

Liquid crystal displays (LCDs) have materials, which

combine the properties of both liquids and crystals. Rather

than having a melting point, they have a temperature range

within which the molecules are almost as mobile as they

would be in a liquid, but are grouped together in an ordered

form similar to a crystal. An LCD consists of two glass

panels, with the liquid crystal material sand witched in

between them. The inner surface of the glass plates are

coated with transparent electrodes which define the

character, symbols or patterns to be displayed polymeric

layers are present in between the electrodes and the liquid

crystal, which makes the liquid crystal molecules to

maintain a defined orientation angle. One each polarizes are

pasted outside the two glass panels. This polarizer would

rotate the light rays passing through them to a definite angle,

in a particular direction. When the LCD is in the off state,

light rays are rotated by the two polarizes and the liquid

crystal, such that the light rays come out of the LCD without

any orientation, and hence the LCD appears transparent.

When sufficient voltage is applied to the electrodes, the

liquid crystal molecules would be aligned in a specific

direction. The light rays passing through the LCD would be

rotated by the polarizer, which would result in activating/

highlighting the desired characters. The LCD’s are

lightweight with only a few mille meters thickness. Since

the LCD’s consume less power, they are compatible with

low power electronic circuits, and can be powered for long

durations.

Fig.6. Interfacing of LCD to a microcontroller.

The LCD doesn’t generate light and so light is needed to

read the display. By using backlighting, reading is possible

in the dark. The LCD’s have long life and a wide operating

temperature range. Changing the display size or the layout

size is relatively simple which makes the LCD’s more

customers friendly. The LCDs used exclusively in watches,

calculators and measuring instruments are the simple seven-

segment displays, having a limited amount of numeric data

as shown in Fig.6. The recent advances in technology have

resulted in better legibility, more information displaying

capability and a wider temperature range. These have

resulted in the LCDs being extensively used in

telecommunications and entertainment electronics. The




LCDs have even started replacing the cathode ray tubes

(CRTs) used for the display of text and graphics, and also in

small TV applications. To send any command from table 2

to the LCD, make pin RS=0.for data, make RS=1.Then send

a high to low pulse to the E pin to enable the internal latch

of the LCD.

F. GSM (Global System for Mobile Communication)

GSM, which stands for Global System for Mobile

communications, reigns (important) as the world’s most

widely used cell phone technology. Cell phones use a cell

phone service carrier’s GSM network by searching for cell

phone towers in the nearby area. Global system for mobile

communication (GSM) is a globally accepted standard for

digital cellular communication. GSM is the name of a

standardization group established in 1982 to create a

common European mobile telephone standard that would

formulate specifications for a pan-European mobile cellular

radio system operating at 900 MHz it is estimated that many

countries outside of Europe will join the GSM partnership

as shown in Fig.7.

Fig.7. GSM Module.

G. Fingerprint Module

Fig.8. Fingerprint module image.

Operation Principle: Fingerprint processing includes two

parts: fingerprint enrolment and fingerprint matching (the

matching can be 1:1 or 1: N).When enrolling, user needs to

enter the finger two times as shown in Fig.8. The system

will process the two time finger images, generate a template

of the finger based on processing results and store the

template. When matching, user enters the finger through

optical sensor and system will generate a template of the

finger and compare it with templates of the finger library.

For 1:1 matching, system will compare the live finger with

specific template designated in the Module; for 1: N

matching, or searching, system will search the whole finger

library for the matching finger. In both circumstances,

system will return the matching result, success or failure.

H. Smartcard Module

Fig.9.Memory overview of smartcard module.

Additionally to the above functions the SLE 4442

provides a security code logic which controls the write/erase

access to the memory as shown in Fig.9. For this purpose

the SLE 4442 contains a 4-byte security memory with an

Error Counter EC (bit 0 to bit 2) and 3 bytes reference data.

These 3 bytes as a whole are called Programmable Security

Code (PSC). After power on the whole memory, except for

the reference data, can only be read. Only after a successful

comparison of verification data with the internal reference

data the memory has the identical access functionality of the

SLE 4432 until the power is switched off. After three

successive unsuccessful comparisons the Error Counter

blocks any subsequent attempt, and hence any possibility to

write and erase.

IV. RESULTS

Fig.10.Overview of Project.




First step of processing of transaction to insert card

Fig.11.

After Insert the Card Reading Card data

Fig.12.

After Reading the Card It will Display Card-2

Fig.13.

Then After Enter Password

Fig.14.

Entering Our Password

Fig.15.

Our Password is Correct Then Go for Next Step Please

Place Your Finger.

Fig.16.




Finger Un-success Try Again.

Fig.17.

After entering 3times Wrong Pin/Fingerprint, it will

shows FINGER UNSUCESS SENDING MESSAGE.

Fig.18.

It Will Display MESSAGE SEND SUCESS to Our Mobile.

Fig.19.

Finally It Will Display UNAUTHORIZED PERSON

TRYING TO ACCESS YOUR ACCOUNT.

Fig.20.

V. CONCLUSION & FUTURE SCOPE

A. Conclusion

Hence Designed the Atm Terminal Design Based on

Fingerprint Recognition and tested successfully. This

project allows the users to enter into the system when the

match between the stored and captured fingerprint (live

scan) occurs. Otherwise it does not allow the user to enter

into the system and sends the error reporting message i.e.,

alert message to the owner of the system.

B. Future Scope

This project can be extended by this way we can improve

the later stages high security for personal mobile phones,

home applications, automobiles and so on. This can be

extended with automated algorithms for fingerprint

recognition has long been a problem studied in computer

science. Since every person has a unique set of fingerprints,

this method has become common for personal identification.

Databases consisting of millions of fingerprints are stored

on file for this purpose. It is our hope to be able to provide

significant speed improvements in the fingerprint matching

phase. The International Fingerprint Research Group

(IFRG) which meets biennially consists of members of the

leading fingerprint research groups from Europe, the US,

Canada, Australia and Israel and leads the way in the

development, assessment and implementation of new

techniques for operational fingerprint detection. A technique

has been developed that enables fingerprints to be visualized

on metallic and electrically conductive surfaces without the

need to develop the prints first This technique involves the

use of an instrument called a scanning Kelvin probe (SKP),

which measures the voltage, or electrical potential, at pre-set

intervals over the surface of an object on which a fingerprint

may have been deposited.




VI. REFERENCES

[1] http://www.arm.com/.

[2] www.keil.com/microvision.

[3] NXP’S LPC2148 user manual http://www.nxp.com/

documents/user_manual/UM10139.pdf.

[4] OP-69Fingerprint Integrated Module User’s Manual

[5] http://www.wikipedia.org/.

[6] Fingerprint image enhancement: algorithm and

performance evaluation [j]. IEEE transactions on pattern

analysis and machine intelligence.

[7] Esaatci, v tavsanogh. Fingerprint image enhancement

using Conn gabor-cpe filter[c]. Proceedings of the 7th IEEE

international workshop on cellular neural networks and their

applications 2002:

[8] gu j, Zhou j, zhang d.a combination model for

orientation field of fingerprints. Pattern recognition, 2004,

37: 543-553.

[9] Chen h, tian j. a fingerprint matching algorithm with

registration pattern inspection journal of software, 2005,

16(6): 1046-105.

[10] Jun Zhou, guangda sua, Chun hinging. A face and

fingerprint identity authentication system based on multi-

route detection. Neurons computing 70 (2007)922-931.

[11] Yelling he, jie titans, xiping luo, tongue zhang. Image

enhancement and minutiae matching in fingerprint

verification. Pattern recognition letters 24 (2003)1349-1360.

[12] Wei wang, jianwei li, feifei huang, hailiang feng.

Design and implementation of log-Gabor filter in fingerprint

image enhancement. Pattern recognition letters 29

(2008)301-308.

Author’s Profile:

K Veera Mohan, Pursuing his MTech in

Embedded systems from Vignana

Bharathi Institute of Technology,

Aushapur, Ghatkesar, Hyderabad,

Telangana 501301 and received his

B.Tech degree in Electronics And

Communication Engineering from

Sphoorthy Engineering college, ,Nadargul Village, Near

Vanasthalipuram, Sagar Road, Saroornagar Mandal,

Hyderabad, Telangana, India.

Email:[email protected]

Ms .T.Pushpa, Received his B.TECH

Degree in Electronics and Communica-

tion Engineering from Srinivasa

Engineering College Nizamabad,

Telangana and received his M.tech in

VLSI Design from Vathsalya

engineering college, anantharam,

bhuvanagiri,- Nalagonda Telangana. And working as a

Assistant professor for Dept of Electronics And

Communication Engineering in Vignana Bharathi Institute

of Technology, Aushapur, Ghatkesar,Hyderabad, Telangana

501301.

http://www.arm.com/

http://www.keil.com/microvision

http://www.nxp.com/%20documents/user_manual/UM10139.pdf



http://www.wikipedia.org/

[email protected]

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