Fingerprint Matching

The increased development of IT tools and social communication networks has significantly increased the need for people to be identified with reliable and secure tools hence the importance of using biometric technology. Biometrics is an emerging field where technology improves our ability to identify a person. The advantage of biometric identification is that each individual has its own physical characteristics that cannot be changed, lost or stolen. The use of fingerprinting is today one of the most reliable technologies on the market to authenticate an individual. This technology is simple to use and easy to implement. The techniques of fingerprint recognition are numerous and diversified, they are generally based on generic algorithms and tools for filtering images. This article proposes a fingerprint recognition chain by highlighting improved processing tools to facilitate data retrieval. The results are retrieved and validated using Matlab.

The university system in the Kingdom of Saudi Arabia is concerned with student attendance for lectures, and it is the responsibility of lecturers to monitor student attendance for each lecture. By the end of the semester, students get an attendance register indicating which lectures the student has attended and it reports the calculated percentage for each student's attendance in each course. Universities have regulated the mechanisms and the acceptable percentages of student absence. The process for a lecturer to manually check student attendance consumes a lot of time and effort, either during the lecture or when in the process of emptying absenteeism and inserting it into the university's electronic system. Therefore, Saudi universities compete to find modern methods of checking student attendance that will avoid the disadvantages of manually taking attendance. For this reason, they have produced electronic attendance systems, for example, using a student's fingerprint, an eye recognition system, or a mobile phone system to read a QR code designed for the same purpose. All of these systems have the disadvantage that they consume a lot of time, as all students have to line up at the fingerprint reader or the eye detector for identification. Therefore, the problem of the consumption of lecture time is still present, even with these modern systems. Therefore, the aim of this research is to propose a smart mobile application that is able to check the attendance of students without having to consume lecture time or require any effort from the lecturer. The system automatically recognizes the attendance of students through their university ID cards. Each lecturer would use his/ her own mobile phone to use the proposed system to check the attendance of students instead of using manual method to register the attendance of students and the students' ID cards that are detected by coming within range of the lecturer reader would represent present students, and missing student ID cards represent absent students

Analysis of oil lamps and clay figurines recovered from a Late Roman ceramics workshop at Beit Nattif in Israel has revealed numerous fragments with evidence of the manufacturer's fingerprints preserved on some of the ceramic surfaces. Further study of these fingerprints has provided a unique insight into the production history of the workshop, even showing how particular innovations in technique may be associated with particular individuals.

Fingerprints are an important biometric trait, being the most widely deployed biometric characteristic. Minutiae-based methods are the most popular technique to compare fingerprints, but as the pairing is rarely perfect the score between two fingerprints may also depend on another factor. Usually, a constant weight is computed either empirically or statically and assigned for each factor. Optimize these weights can be a hard task for a large N-dimensional attributes space. Genetic Algorithms (GA) is an optimization approach based on Darwin's theory of evolution of species and it has been proved to be quite successful in finding good solutions to such complex problems. In this work, we analyze an GA-based optimization approach for SourceAFIS's fingerprint authentication algorithm. The DB2 fingerprint database from FVC 2006 project was used to validate our method. As best result, an EER of 0.379% was achieved.

In this study, we reviewed biometric template protection schemes in subsisting literature and established that there is no reliable, efficacious and foolproof technique that assures diversity, revocability, security and optimal performance as is required of an ideal biometric template security scheme. This status of affairs motivated us to contrivance an approach that derives biometric encryption keys from biometric fingerprint templates. The technique we proposed involves a two-step enrollment and authentication of fingerprints while encrypting fingerprint templates with encryption keys derived from other biometric fingerprint templates before archiving them to a database. The system was implemented using Java, developed on Netbeans 8. 0 IDE, MySQL RDBMS was used for back-end database and utilized Source AFIS java library framework for fingerprint verification and identification. Test results were carried out to determine the system's efficacy.