International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
A Survey on Fingerprint Identification For different Orientation Images. Miss. Kaveri Bhagat1 , Prof. Sushen Gulhane2. 1M.E.(E&TC)
2
& kaveribhagat96@gmail.com Assistant Professor, Electronics & Telecommunication, Dr. D. Y. Patil College of engineering, Maharashtra, India
---------------------------------------------------------------------***--------------------------------------------------------------------popular one. It uses feature vector means extract Abstract - Most of system uses Biometric to identify persons feature from database for different orientation and .So one can use any feature such as it may be face, fingerprint ,hand retina etc. In this paper we focus on fingerprint extract feature from input image also and then recognition. Input image is scanned and then pre-process to matching algorithm is used here to match images. extract feature using different algorithm. In this way by using Basically fingerprint authentication is used to match fingerprint as input image we process on this image and find two fingerprint images. There are three basic steps to out the person is authorized or not. recognize persons preprocessing, feature extraction, matching. Key Words: Fingerprint, DWT, Gabor filter, DTCWT, BPNN, fingerprint matching 1.INTRODUCTION
Now a days it is necessary to identify authorized person. For that purpose most of systems uses Biometric to find valid persons. User can use traditional methods such as using PINs ,password, token, but these methods are not much secure. The password or PINs are access by other person or it can be misplaced so there will be misuse of this data so instead of that we can use biometric system for more secure in online shopping or in other area such as ATMs etc. The biometric system (bio means life and metric means measure) based on feature vector. These vectors are derived from behavioral characteristics or physiological. Biometric system uses Bbehavioral characteristics of Person such as hand scan, fingerprint, face scan, Retina scan. Biometrics deals with automatic recognition of persons based on their behavioral characteristics and physiological. Biometrics are more reliable as compared to traditional methods. Out of these behavioral characteristics here we use fingerprint to identify persons. Each person has unique fingerprint for twins also. Input image may be any type i.e. inked image, scan image , etc. Fingerprint have graphical patterns such as ridges and valleys, and minutia points. A fingerprint composed of a sequence of ridges and valleys which are parallel to each other. The dark lines are ridges and light areas between ridges are the valleys. There are number of techniques are available to extract feature out of that minutia based method is Š 2017, IRJET
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Impact Factor value: 5.181
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Fig. Fingerprint with core, valleys, ridges
On the inner most ridge core is defined. The different fingerprint images are described below.
a)Live-scan fingerprint
b)Inked fingerprint on paper
c) fingerprint from NRC ISO 9001:2008 Certified Journal
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