How fingerprints and other biometrics help law enforcement

Biometrics in today's law enforcement
AFIS
Ten/latent print
Ten prints represent a complete set of fingerprints collected on a single sheet. The identity of the person is known, making it a ‘known print’. Today, fingerprints are taken by a scanner, replacing the traditional ink pad. Latent prints are recovered from a crime scene by using chemical and lighting techniques.
Palm prints
Palm prints can be collected using a similar method to fingerprints and can also be used for identification by forensics.
The human touch
DNA
DNA is a powerful tool for law enforcement investigations. Each person’s DNA is different, except for identical twins. By analysing DNA sequences or loci (location in the body), forensics can develop a profile to help identify a suspect.
Chromosomes
Each cell in the body has an inner core, a nucleus that holds chromosomes. The chromosome contains markers that repeat DNA sequences. It varies how many times a sequence repeats, depending on the person.
Profiling
The first step in DNA profiling is to obtain samples. Only a small number of cells is needed to build the unique profile. From these cells, DNA is extracted and copied. After this process, forensics generates a DNA profiling definition that law enforcement professionals can read.
Databases
The rise of databases supported the increased use of DNA profiling. For example, INTERPOL’s DNA database contains more than 247,000 profiles.
Pros/cons
The methodology is an efficient and precise method. Although it is very accurate, it is never foolproof. For example, a partial profile could match multiple people and not serve as conclusive evidence.
Voice/facial recognition
Both voice and facial recognition tools serve a variety of purposes such as investigative leads and the identification of crime victims.
Technology
Facial recognition technology is a complex software that compares a picture of a suspect’s face to others in a database. Using algorithms, the system can pick out specific and distinctive details about a person’s face. These details are converted into a mathematical representation and compared to the existing data.
Speech recognition
The first speech recognition platforms were developed in the 1950s and could only understand digits. Today’s solutions are much more advanced and accurate, recognising accents and environments with background noise. Reporting and documentation are essential elements of law enforcement and speech recognition technology (SRT) makes that process easier and faster.
Policies
Ethics
For facial recognition algorithms to work well, the system must be trained and tested with large data sets with images captured under different conditions. This raises ethical questions on how data is collected, stored, shared and used.

Mobile devices shape the future of law enforcement
Out on patrol, the day can be unpredictable for officers. Mobile biometric devices provide benefits to law enforcement workers who identify and verify people during field operations in near real-time. Our solutions ensure that dedicated members of law enforcement are well-equipped to manage biometric needs from anywhere.