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Biometrics
A form of access control that accurately and efficiently identifies humans
uses an individual’s biological and behavioral traits to grant access
Functions of biometrics
Biometric matching/verification
Biometric Identification
Biometric matching/verification
identifies someone out of a crowd by scanning select biometric characteristics into a database
ex. law enforcement looking for a person of interest
Biometric identification
Access control systems create and store databases of biological traits and compare them to the individual attempting to gain entry into a device or facility
ex. facial or retina scan- system decides who gains entry to facility
Types of forensic biometrics
physiological biometrics
behavioral biometrics
iris biometrics
retina biometrics
Physiological biometrics
focuses on identifying humans through their unique physiological traits
fingerprints
hand scans
iris scans
retina scans
facial scans
Behavioral biometrics
focuses on identifying humans through unique behavioral or mental patterns they exhibit- how a person acts (less stable and not used often)
handwriting- analyzing strokes, curves, pressure of wriitng
voice- measures pitch/dynamics of voice
keystroke recognition- -measures speed of pressing keys (good for hackers)
Gait recognition- cycle of walking, step length, posture etc.
What is the workflow for collecting biometric data?
enrollment
Extraction
Template Module
Enrollment
Captures a persons biometric data and stores it in a database for later use
Extraction
Finds patterns in the traits extracted by the sensor by using mathematical equations
One of the MOST COMPLEX and important components
Template module
saves all of the raw data produced by the feature extraction and putting it into a simple and easy to read format for the system
compares a user to the rest of the data to determine match
Iris Biometrics
Goal is to create a unique template of the iris (IrisCode) to be compared against a database in the NGI system
Visible pattern at the front of the eye
Iris
Colored part of the eye around the pupil
unique to every individual
Intricate muscle patterns and iris constriction is unique to every person
iris goes unchanged for the life of user
Retina biometrics
Requires user to be within a fraction of an inch of a high power camear lens that shines a bright light into the eye to see
blood vessels at the back of the eye
Advantages of iris biometrics?
less invasive
iris is individual to everyone
less likely to be affected by disease
better technology
Facial recognition
Analyze a variety of facial features
a clear image must eb acquired
system normalizes the image
template is stored
various techniques developed, appearance based and model based
Advantages of facial recognition
not intrusive like iris biometrics
beneficial for day to day access/use
hygienic- no touching required
Disadvantages of facial recognition
many features compromise the face
complex models and graphs needed to store all the data used
can be tricked by a 2D picture
3 Most widely accepted facial recognition techniques
principle component analysis
linear discriminant analysis
elastic bunch graph matching
Principle Component Analysis
Uses thousands of stored images of faces and places them over the face in question. Precise algorithms analyze the face during overlap
appearance-based
disadvantage: full frontal face required
Linear Discriminant Analysis
face is placed on a vector, lines from one feature to another are analyzed. Relationship between the lines is analyzed and variations are recorded
advantage: fast, can accamodate different lighting and facial expressions
disadvantage: full face image required, requires a large amount of data
appearance based
Elastic Bunch Graph Matching
sequence of graphs used to map the nonlinear relationships of features on the face. Identifies landmarks like edges of lips, tips of nose etc. Characteristics are assigned then compared.
model-based
advanatge: allows for partial and off center pictures to be analysed, maps human face with extreme accuracy
Next -Generation Identification System (NGI)
Provides a broader selection of resources and information for law enforcement agencies across the country
integrating biometric technology into identification system
Interstate Photo System (IPS)
A database containing 30M front-facing mugshot photos of individuals. ALL face photos MUST INCLUDE all ten fingerprints
maintained by FBI
Facial Analysis, Comparison, and Evaluation (FACE) Services
Provides face recognition capabilities to support active FBI investigations
Contains civil photos from state/federal government databases
National Palm Print System (NPPS)
Contains database of millions of palmprints to be used in criminal investigations
Repository of Individuals of Special Concern (RISC)
Allows officers ti fingerprint individuals they encounter and quickly detect whether they are a threat
10 seconds to search and compare against 2.9M prints
completely mobile
What are the two main functions of biometrics?
Biometric matching/verification
Biometric identification
What are the 3 components of biometrics
enrollment
extraction
template modules
Which category of biometrics is more concerned with the way a human performs an action, rather than focusing on a specific physiological trait?
Which is most common?
Behavioral biometrics- most common is handwriitng analysis
What is one of the main problems with retina biometrics?
Viable images can be affected by disease
What are the three most widely accepted techniques to create a viable reconstruction and analysis of a human face?
PCA (Principle component analysis)
LDA (Linear discriminant analysis)
EBGM (Elastic Bunch Graph Matching)
What is RISC? Why is it beneficial for law enforcement officers?
Mobile database of individuals of special concern
allows for officers ti quickly identify threats/potential dangers