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The IEEE Certified Biometrics Professional® (CBP) Program was discontinued on 1 December 2014. Although the program’s educational materials were used by more than 1,000 individuals and over 400 IEEE CBP credentials were awarded, the number of candidates pursuing the IEEE CBP credential was lower than needed to sustain the program.

Developed in collaboration with leading biometrics subject-matter experts from industry, government, and academia, IEEE established the CBP program in 2009 to help identify individuals who had mastered the IEEE CBP body of knowledge and possessed the knowledge and skill necessary for biometrics professionals.


Certification Verification

Employers who wish to verify if a job candidate earned the IEEE CBP credential in the past may write to Please include the job candidate’s full name, country of residence, and current e-mail address in your request for certification verification.


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IEEE CBP Credential Requirements

To earn the IEEE CBP credential, candidates were required to pass a rigorous three-hour standardized examination and promise to adhere to the IEEE CBP Code of Ethics. The IEEE CBP Program offered a comprehensive body-of-knowledge review course. Both the certification examination and review course were based on the following outline.

IEEE CBP Body-of-Knowledge Outline

A.    Biometrics Fundamentals      

1.    Definition and general history

a)    Definition of biometrics

b)    History

2.    Introduction to biometric systems

a)    Desirable biometric characteristics

b)    Sensors

c)    Enrollment and databases

d)    Matching and decision systems

3.    Biometric applications

a)    How and where biometrics can be used

b)    Examples of biometric uses

4.    Biometric functionality and macro-environment

a)    Security

b)    Identity management

c)    Forensics

5.    Fundamental enabling technologies

a)    Signal/Image processing

b)    Computer vision

c)    Pattern recognition

d)    Statistical analysis

B.    Biometric Modalities

1.    Characteristics of biometric modalities

a)    Physical vs. behavioral

b)    Phenotypic vs. genotypic

2.    Modalities

a)    Fingerprint

b)    Face

c)    Iris

d)    Vascular pattern recognition

e)    Palm print

f)    Hand geometry

g)    Speaker recognition

h)    Signature

i)    Handwriting

j)    DNA

k)    Keystroke

l)    Gait

m)    Ear shape

n)    Retina

o)    Other

1)    Thermography

2)    Brain waves

3)    Cardiac

4)    Odor

5)    Skin texture

6)    Soft biometrics

3.    Multibiometrics

a)    Fundamentals and taxonomy

b)    Fusion

C.    Biometric System Design and Evaluation

1.    Biometric system architecture

a)    Sensing and data acquisition subsystem

b)    Signal/Image processing subsystem

c)    Data storage subsystem

d)    Matching subsystem

e)    Decision subsystem

f)    Administration subsystem

g)    Data transmission subsystem

2.    System design process

a)    System concepts and application classifiers

b)    Design issues and interoperability

c)    Requirements analysis

d)    System specification

e)    Architectural design and information processing architectures

f)    Subsystem design

g)    Subsystem implementation and testing

h)    System integration and deployment

i)    System maintenance, template ageing and re-enrollment

3.    Identity management systems

a)    IdM requirements

b)    IdM system design and role of biometric system

c)    IdM system architecture

4.    Testing/Evaluating performance

a)    Types of tests (Technology, Scenario, Operational)

b)    System accuracy

1)    False match rate (FMR), false non-match rate (FNMR)

2)    Failure to enroll (FTE), failure to acquire (FTA)

3)    ROC, DET and CMC curves

4)    Other accuracy metrics

c)    Other testing

1)    Usability and scalability

2)    Reliability, availability

3)    Throughput, response time

4)    Maintainability

5)    Security

d)    Conformance and interoperability

1)    Conformance to standards and interoperability

2)    Conformance to performance specification (biometric product certification)

5.    Other design considerations

a)    Economic considerations

b)    System safety

6.    Security, vulnerability and privacy

a)    Spoofing and liveness detection

b)    Database security

c)    Template protection

1)    Cancelable templates

2)    Cryptosystems

3)    Data hiding (watermarking, steganography)

D.    Biometrics Standards

1.    Standards development and adoption

2.    Biometrics standards bodies

a)    ISO/IEC JTC1 SC37

b)    INCITS M1


d)    ANSI X9

e)    Other standards bodies

3.    Standards, framework, and hierarchy

a)    Data interchange formats

b)    Data structure standards (e.g. CBEFF)

c)    Data security standards

d)    System properties standards

e)    Technical interface standards (e.g. BioAPI)

f)    Vocabulary standards and glossaries

g)    Cross-jurisdictional issues

E.    Social, Cultural and Legal Implications

1.    Acceptability

2.    Privacy considerations

3.    Identity theft

4.    Ethical issues

5.    Local/International considerations and legal issues

F.    Biometrics Applications

1.    Overview

a)    Verification (1 to 1) vs. Identification (1 to many)

b)    Market Sectors

2.    Application Examples

a)    Logical access control

b)    Physical access control

c)    Time and attendance

d)    Enforcement

e)    Surveillance

f)    Consumer ID

g)    Civil ID