Synopsis (Fingerprint Reg)(2)

ONLINE REGISTRATION USING BIOMETRICS

ABSTRACT Now a day’s Biometrics are most commonly used for identity verification but now the online registration system existed were using only photo and signature for their identity verification even there is malpractices is possible. But here in this project I am using finger print recognition technique for identity verification in online application forms. A Finger print is the feature pattern of one finger. It is believed with strong evidences that each finger print is unique. Each person has his own finger prints with the permanent uniqueness. Fingerprint identification is one of the most well known and publicized biometrics. Because of their uniqueness and consistency over time fingerprints have been used for identification.

Key Terms Biometrics, Fingerprint, Fingerprint Recognition, minutia extractor and a minutia matcher

1. Introduction My Project is to use the current techniques for finger print recognition in online registration forms. This target can be mainly decomposed in to creation of online registration form, image pre processing feature extraction and feature match.

1.1 What is an Online Registration Form? It is a web based portal developed using any programming language. The Online Registration form will allow users to submit their registration details through online and the entered details are stored in a database. Online registration forms are most commonly used in passport applications, bank exam registration, student details registration etc.

1.2 What is Biometrics? "Biometrics" means "life measurement" but the term is usually associated with the use of unique physiological characteristics to identify an individual. The application which most people associate with biometrics is security. In Computer

Science, in particular, biometrics is used as a form of identity access management and access control By using special characteristics we mean the using the features such as face, iris, fingerprint, signature etc. The most commonly using biometric technology is fingerprint identification

1.3 What is a finger print? A fingerprint is an impression of the friction ridges found on the inner surface of a finger or thump ie, it is the feature pattern of one finger. Ridge patterns and the details in small areas of friction ridges are unique and never repeated also it develop on the fetus in their definitive form before birth. Ridges are persistent throughout life except for permanent scarring. Friction ridge patterns vary with in limits which allow for calculation. It is believed with strong evidences that each finger print is unique .Each person has his own finger prints with the permanent uniqueness. So finger print have being used for identification and forensic investigation for a long time

1.4 What is Fingerprint Recognition? The fingerprint recognition problem can be grouped into two sub-domains: one is fingerprint verification and the other is fingerprint identification. In addition, different from the manual approach for fingerprint recognition by experts, the fingerprint recognition here is referred as AFRS (Automatic Fingerprint Recognition System), which is program-based.

2.1 Existing System In existing system of online registration forms apart from entering registration details we are uploading our scanned photo and signature for identity verification. At the end point (most probably in the examination hall) verifying the photo and signature. Advantages 1. We can enter details through online. 2. Easy to provide an id number to each person according to their time of Submission. 3. Easy to maintain the database. 4. Uploading signature and photo for identity verification. Disadvantages Because of using only photo and signature for identity verification malpractices Possible.

2.2 Proposing System In the proposing system I am using fingerprint identification. Even if they are twines the finger print of each of them is different, so any type of malpractices is not possible. So we can identify whether the same person who wrote the exam got the job. Advantages: 1. Very high accuracy and easy to use. 2. Is the most economical biometric PC user authentication technique. 3. It is one of the most developed biometrics 4. Small storage space required for the biometric template, reducing the size of The database memory required . It is standardized. Disadvantages: 1. For Some people it is very intrusive, because is still related to criminal Identification. 2. It can make mistakes with the dryness or dirty of the finger's skin, as well as With the age (is not appropriate with children, because the size of their Fingerprint changes quickly). 3. Image captured at 500 dots per inch (dpi). Resolution: 8 bits per pixel. A 500 Dpi fingerprint image at 8 bits per pixel demands a large memory space, 240 Kbytes approximately → Compression required (a factor of 10 approximately).

Scope In my project I am using the method that, the user should upload the scanned image of his fingerprint in the online registration form itself and verifying the fingerprint in the examination hall using a fingerprint sensor. For the fingerprint verification I am using minutia extractor and a minutia matcher.

Conclusion: Using this project we are overcoming the malpractices due to the misidentification also providing better identity verification in the online registration forms.

References:[1] Lin Hong. “Automatic Personal Identification Using Fingerprints”, Ph.D.Thesis, 2008. [2] D.Maio and D. Maltoni. Direct gray-scale minutiae detection in fingerprints. IEEE Trans. Pattern Anal. And Machine Intell., 19(1):27-40, 2007. [3] Jain, A.K., Hong, L., and Bolle, R.(1997), “On-Line Fingerprint Verification,” IEEE Trans. On Pattern Anal and Machine Intell, 19(4), pp. 302-314.

[4] N. Ratha, S. Chen and A.K. Jain, "Adaptive Flow Orientation Based Feature Extraction in Fingerprint Images", Pattern Recognition, Vol. 28, pp. 1657-1672, November 1995. [5] Alessandro Farina, Zsolt M.Kovacs-Vajna, Alberto leone, Fingerprint minutiae extraction from skeletonized binary images, Pattern Recognition, Vol.32, No.4, pp877-889, 1999.

Lekshmi V.S. Roll No.-11071D2514