we propose here a novel system for protecting finger print privacy by combining two different fingerprints into a new identity. In the enrollment, two fingerprints are captured from two different fingers Thus, a new virtual identity is created for the two different fingerprints, which can be matched using minutiae-based fingerprint matching technique.

1. D-Secure Privacy Protection based on
Fingerprint

2. Abstract:
Fingerprint recognition is an active research area nowadays. In many areas we are using
fingerprint recognition for to improve the security and privacy. In finger print recognitions
system the recognition can be done by fingerprint matching techniques. Fingerprint matching
techniques are classified in two categories:
Fingerprint verification and Fingerprint
identification. In this project we are using the fingerprint verification. For this we propose
here a novel system for protecting finger print privacy by combining two different
fingerprints into a new identity. In the enrollment, two fingerprints are captured from two
different fingers. We extract the minutiae positions from one fingerprint, the orientation
from the other fingerprint, and the reference points from both fingerprints. Based on this
extracted information and our proposed coding strategies, a combined minutiae template is
generated and stored in a database. In the authentication, the system requires two query
fingerprints from the same two fingers which are used in the enrollment. A two-stage
fingerprint matching process is proposed for matching the two query fingerprints against a
combined minutiae template. With the help of an existing fingerprint reconstruction
approach, we are able to convert the combined minutiae template into a real-look alike
combined fingerprint. Thus, a new virtual identity is created for the two different fingerprints,
which can be matched using minutiae-based fingerprint matching technique. We are going to
develop this project in Dot Net Technology.

3. Existing System:
In the Existing system finger prints are scanned single finger. And it is stored in database, and
while the authentication process stored finger print is matched with the enrollment finger
print. This type of system didn’t provide full security and privacy to the users.
Advantage:

Most convenient because of Single finger print

The prices of the finger print readers are pocket friendly

No need to remember Password.
Disadvantages:

Less Security ( rejects certain percentage of the people)

Limited Privacy Protection
o Store the registered and the objective images in the system, which
may cause the risk of exposure and leakage of the private
fingerprint image.

Require extra time to identify user

High attacks from hackers.

Proposed System:
In proposed system model contain biometric authentication. During Authentication, system
will verify the details in the database and identify whether the user authorized person or not.
If the user is unauthorized mean, the server gives the error message to that user. If the user
authorized mean, the server give the acknowledgment to user for further actions. Matching
process is proposed for matching the two query fingerprints against a combined minutiae
template. With the help of an existing fingerprint reconstruction approach, we are able to
convert the combined minutiae template into a real-look alike combined fingerprint. Thus, a

4. new virtual identity is created for the two different fingerprints, which can be matched using
minutiae-based fingerprint matching algorithms.
Advantage:

Double level Security

No Limited Privacy Protection

System Can Achieve A Very Low Error Rate

High Performance
System Specification
Software Requirements:

MS Windows XP/2000

MS Visual Studio.Net 2005

MS SQL Server 2000
Hardware Requirements:

Hard Disk: 20GB and Above

RAM: 1GB and Above

Processor: Pentium III and Above

5. Architecture Diagram:
Enrolment
(Two fingerprint
input)
Combined Minutiae
Template Generation
Authorization
Database
Authentication
(Two fingerprint
input)
Yes/No
Two-Stage Fingerprint
Matching
Existing System Architecture
Enrolment
(Single fingerprint
input)
Authorization
Database
Authentication
(Single fingerprint
input)
Minutiae Fingerprint
Matching
s
Yes/No

6. Fingerprint Verification Algorithm
Proposed Method:
Minutiae Method Fingerprint verification Algorithm:
Minutia method uses feature information of the terminal points and separate points of
ridges of the fingerprint and their relative positions.
Existing Method:
Pattern Matching Method Fingerprint Verification Algorithm:
Pattern-matching method verifies the identity of the patterns by directly comparing
the objective fingerprint images with the registered image.