Review 2 (27.2.13)

7

HUMAN IDENTIFICATION USING FINGER IMAGES

BATCH NO 7

CREW :

K.RANJITHAP.RENUGA DEVIE.SHARMILAC.SALMA SULTHANA

GUIDED BY:

DR.R.S.SABEENIAN

OBJECTIVE: Approach to improve the performance of finger vein and finger ridge identification systems.

Acquires the finger-vein and low-resolution fingerprint images - novel score-level combination strategy.

The utility of low-resolution fingerprint images acquired from a webcam is examined to ascertain the matching performance.

We develop score-level combinations and ascertain their effectiveness in the proposed system.

PROBLEM STATEMENT

Biometric techniques in conventional means such as keys, passwords, and PIN numbers have problems in terms of theft, loss, and reliance on the user’s memory.

Security and convenience of the system requires high accuracy and fast response times.

Biometric methods based on the pattern of finger-prints, facial features, the iris, the voice do not ensure confidentiality.

These methods can be susceptible to forgery.

PROJECT DESCRIPTION

To solve this problem, we propose a biometric system using patterns of veins within a finger and finger ridges.

To develop highly accurate personal identification systems, finger-vein patterns should be extracted precisely from the captured images.

The process must be executed speedily in order to satisfy requirements for user convenience.

BLOCK DIAGRAM

WORK - DONE :

• Obtained the Simulated Output till Pre-processing of Finger-Veins

Pre-processing steps:

Binarization Edge-Detection Pre-processed Output

WORK TO BE DONE:

• Finger-Vein feature extraction

• Matching of Finger-Vein and Ridges

• Score combination

• Final output

OUTPUT:

ADVANTAGES

The human vascular structure is a unique & private feature of an individual.

Vein patterns are not easily observed, damaged, obscured or changed.

Identical twins have different and distinct IR absorption patterns.

Infra Red absorption patterns are easily compared via optical and DSP techniques.

Veins provide large, robust, stable and hidden biometric features.

A contact free technology involving no physical contact with the hardware.

Extremely diffi cult to steal/misuse as veins are not visible to naked eye.

APPLICATIONS:

Secured entry devices for door locks.

Vein structures provide the opportunity for low cost personal worn and pocket biometric keys.

Some other applications of vein recognition include:

• Computer Log-ins

• POS Authentication

• Time Attendance Applications

• Physical Access Control

Secured computer network access. 

A small number of banks use finger-vein readers for authorization at ATMs.

More recent applications of finger recognition include use of finger-veins for voter registration. 

REFERENCES:

“Human Identification Using Finger Images” Ajay Kumar, Senior Member, IEEE, and Yingbo Zhou,2011.

“Finger-vein Authentication Based on Wide Line Detector and Pattern Normalization” Beining Huang, Yanggang Dai, Rongfeng Li, Darun Tang and Wenxin Li , Peking University Beijing, China.2010

“Encyclopedia of Biometrics” S. Z. Li, Ed.. New York: Springer- Verlag, 2009.

N. Miura, A. Nagasaka, and T. Miyatake, “Extraction of finger-vein patterns using maximum curvature points in image profiles,” in Proc.IAPR Conf. Mach. Vis. Appl., Tsukuba Science City, Japan, May 2005, pp. 347–350.

N. Miura,A. Nagasaka, and T. Miyatake, “Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification.” Mach. Vis. Appl., vol. 15, no. 4, pp. 194–203, Oct.2004.

Thank you…!!!