What is A Fingerprint?
What is Fingerprint Recognition?
There are mainly two systems using fingerprints as a biometric:
Fingerprint identification system (FIS) and fingerprint verification system (FVS)
Fingerprint identification system (FIS) vs fingerprint verification system (FVS)
The algorithms that are used to recognize fingerprints are the pattern-matching method and minutia methods .
pattern-matching method :
Pattern-matching method verifies the identity of the patterns by directly comparing the objective fingerprint images with the registered image.[ 1]
Graphical center of fingerprint image (not necessarily defined by the fingerprint core) is cropped a fixed distance and compressed for subsequent match. The greater the difference between the stored template and the live comparison, the less likely the match. http://sales.fingertec.com/download/info/whitepaper-01.pdf minutia method:
Minutia method uses feature information of the terminal points and separate points of ridges of the fingerprint and their relative positions. [ 1 ] this algorithm is capable of improves the quality of the fingerprint ridge and
Extracts the characteristic points(end point ,Branching point) from it .
Comparison of previous fingerprint Recognition algorithms:[2]
Template Size vs. Search and Match Speed:
The size of a minutia template is directly related to the number of minutia extracted.
The size of the pattern-based template is directly related to the image
On average,
Minutia points represent positions where friction ridges end abruptly or where a ridge branches into two or many more ridges. A typical good-quality fingerprint template contains 20-70 minutiae points; the actual number depends on the size of the finger sensor surface and how the user places his or her finger on the sensor. The system stores the minutiae information position and direction along with the user's demographic information as a template in the enrollment database.
In quadrants 1 and 2 how the amount and constituents of the fingerprint residue on the substrate affects the fingerprint image, is determined. In quadrant 1, excess sebum and moisture is first removed from the finger tips with the help of a clean cloth. In quadrant 2, fingertip is first wiped around the nose or forehead to create excess sebum. Quadrant 3 and 4 were used to compare the details between untreated and dusted fingerprint residues.
There are many reasons why fingerprinting is used as an important methods for identification (Hall, 2015). As stated by Hall (2015), “A fingerprint consists of several identifiable characteristic, such as loops, arches, whorls, islands, and bifurcations. The arrangement, frequency, and design of these features are among the many characteristics used to distinguish prints from one another” (p. 510). Everybody’s fingerprints are the same. Fingerprints are kept in Federal and state agencies of the within the law. When someone commits a crime, a forensic scientist takes fingerprints and match them through the database in computers. Since fingerprinting does not go against the Fifth Amendment, a search warrant is not required. Fingerprints can be matched with someone’s hair down the color of their eyes. Another type of type of recognition to identify someone is through blood tests, and it is used in the U.S. Benches. The individuals who has this procedure done may feel pain and get sick from the procedure.
Lee, H. (2001). Advances in Fingerprint Technology, Second Edition, 2nd Edition. Retrieved January 26, 2015, from Vital Source: http://online.vitalsource.com/books/9781420041347
In July of 1999 the fingerprint was introduced into the IAFIS. The FBI had so many fingerprints on file that in order to convict someone it would take years for them to be able to match a fingerprint. This database created a way for it to be completed faster and more efficient. The data is taken first with directly indefinable characteristics (name, social security, address, telephone number, email, biometric identifiers, photography) and then entered in the with non-indefinable characteristics (gender, race, birthdate, license number) to create personal file. The database is maintained by the FBI to keep all of the fingerprints in line. But, many agencies (federal, state, local and foreign) can use the database on order to make sure a suspect isn't linked with any other crimes and to identify the
Fingerprints are impressions left by ridges that press against things and leave a mark. They’re formed in the basal layer of skin while in the womb. The three fundamental principles of fingerprints are: no two fingerprints are the same, a fingerprint will remain the same for a lifetime, and there are general ridge patterns found in fingerprints that allow them to be systematically classified. Arches, whorls, and loops are the three basic fingerprint patterns. There also four subgroups which are plain, central pocket, double/double loop, and accidental. A minutiae, or ridge characteristic, are characteristics within a fingerprint that must make up for identification. Some examples of individual ridge characteristics would be bifurcation, short ridge, dot, etc. With the use of fingerprints, many individuals have been identified in criminal investigations.
DNA Fingerprinting, also known as DNA Profiling, is a method used to identify a person using DNA patterns that are specific to him/her. 99.9% of DNA is identical in every human being, but .01% is enough to distinguish between people. It is most commonly used in criminal cases to link a criminal to his/her crime scene, but is also used for paternity/maternity tests, and immigration records. Usually a skin, hair, or body fluid sample is collected from a crime scene or criminal or test candidate, then DNA is extracted and cut using enzymes that recognize patterns in DNA and run through a gel by an electric current in a process called electrophoresis (Annely).
According to the article Forensic Tools, fingerprint analysis which are based on humans using or computers attempting to find and match
Once a print is collected, analysis can begin. During analysis, examiners determine whether there is enough information present in the print to be used for identification. This includes determining class and individual characteristics for the unknown print. Class characteristics are the characteristics (crime Museum, 2016) that narrow the print down to a group but not an individual. The three fingerprint class types are arches, loops, and whorls. Arches are the least common type of fingerprint, occurring only about 5% of the time. Ridges that enter on one side of the print go up, and exit on the opposite side characterize this pattern. Loops are the most common, occurring 60-65% of the time. Ridges that enter on one side of the print loop around, and then exit on the same side characterize this pattern. Whorls present a circular type of ridge flow
The automated Fingerprint Identification System is also known as the AFIS within the law enforcement division (FBI, 2010). This system is an important element in the criminal justice system as some of its features encompass the storing of data, encoding, and fingerprint and facial comparison through graphics and other techniques. Law officials many centuries ago in the pursuit of positively identifying someone suspected of guilt have long used fingerprints techniques. Fingerprinting is also used in branches of our government, and in the Pentagon, the authentication method of fingerprints is used permit access to specified zones inside the building. Fingerprints are an effective and very precise method of identification purposes that does not pose
Select an example of a commonly used method of fingerprint development for a non-porous surface. After selecting a method:
Every time somebody touches something, they leave behind a unique signature that forever links them to that object. This link is their fingerprints, which are unique to every person, for no two people have the same set, not even family members or identical twins. Palms and toes also leave prints behind, but these are far less commonly found during crime scene investigations. Therefore, fingerprints provide an identification process that is applicable to background checks, biometric security, mass disaster identification, and most importantly, crime scene investigations. Fingerprints are so differentiated because they are made up of distinct patterns of ridges and furrows on the fingers. The ridges are the “raised” portions of the prints, and the furrows are the “recessed” portions. This perceived uniqueness has led some people to falsely accept fingerprint analysis as absolute scientific fact. Although overall fingerprints are reliable, there are definitely situations where their accuracy can come into question.
The obtained image is applied to a thinning algorithm and subsequent minutiae extraction. The methodology of image preprocessing and minutiae extraction is discussed. The simulations are performed in the MATLAB environment to evaluate the performance of the implemented algorithms. Results and observations of the fingerprint images are presented at the end.
Biometrics is used in many places and there is a bright future for them. Coca Cola has recently replaced time card system with hand scanning machines. Finger print scanners are being used in many states of the US. They have been used to trace social welfare fraud. An iris pattern identification system is being used in Cook County, Illinois to ensure that right people are released from jail. ATM machines have been installed with finger scanners to prevent theft and fraud in Indiana (Jain, 2005).
The final main biometric technology used is fingerprint recognition. This is definitely the most widely used biometric technology. This type of biometric has been used for many, many years. Because of this, fingerprint recognition has been known as the most primary and accurate identification method used to identify a person. The modern fingerprint recognition is all done electronically. There are two main ways of analyzing fingerprints electronically. The first plots points on the ridges of a person’s fingers that enable the computer to compare to different fingerprints. The second method uses patterns of a fingerprint