OpenLegislation

Division 3.2.1 Fingerprints

United Kingdom

Original text. Later amendments are not shown.

CS-EES shall be able to perform biometric verifications using one, two or four fingers flat.

In the case where four fingers flat are used, fingerprint data from the following fingers shall be used: the index finger, middle finger, ring finger, little finger.

In the case where one or two fingers flat are used, the following fingers shall be used by default:

  1. (a)

    one finger: index finger;

  2. (b)

    two fingers: index finger and middle finger.

Alternatively, the following fingers may be used:

  1. (a)

    One finger: the first finger available for acquisition by the following order — index finger, middle finger, ring finger, little finger.

  2. (b)

    Two fingers: the first two fingers available for acquisition by the following order — index finger, middle finger and ring finger. Little finger may be also considered as a second one (only) for verification, should no other possibility exist.

In all cases:

  1. (a)

    The fingerprint data shall be captured from the hand used for the enrolment.

  2. (b)

    The finger-position shall be identified for each individual fingerprint image as specified by the ANSI/NIST-ITL 1-2011: Update 2015 standard (or newer version).

  3. (c)

    A verification based on permutationf1 ensures that fingerprints from each of the two sets are matched against each other, regardless of their position in the set. It shall be possible to enable or disable this functionality at central level, impacting all users.

In cases of permanent or temporary physical impossibility to be fingerprinted, the fingerprints shall always be identified as specified by the ANSI/NIST-ITL 1-2011: Update 2015 standard (or newer version) and the EES Interface Control Document

Annotations

Footnotes

f1

Permutation is a specific configuration mode of the biometric matching system, which ensures that fingerprints from each of the two sets are matched against each other, regardless of their position in the set. This ensures the elimination of potential human errors in regards to the order of the fingers as well as the highest possible biometric accuracy for verification.