Division 3.3.2 For Law Enforcement Purposes
United Kingdom
Only for law enforcement purposes, searches may be performed on the basis of the following biometric data:
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fingerprint data sets containing at least one fingerprint;
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rolled and unsegmented slap fingerprint data;
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latent fingerprints;
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facial image in combination with fingerprint data;
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facial image only.
In case of fingerprints searches, permutationf1 of hands shall be performed in the scope of law enforcement searches. The use of permutation of hands shall be configurable (enable/disable) on central side, impacting all users.
Identification for law enforcement purposes with fingerprints shall be conducted on all stored fingerprints without account to fingerprint quality, or only on those meeting a certain quality threshold defined in the user search configuration used for the search. The CS-EES shall provide the matching biometric data to the requesting MS together with the indication of the quality of the retrieved fingerprints. In the event of a match with fingerprints of low quality, the law enforcement authority shall be informed that additional verifications are required in order to confirm the match. The tresholds indicating ‘low data quality’ requiring additional verifications shall be specified in the technical specifications referred to in Article 37(1) of Regulation (EU) 2017/2226.
Biometric searches using only the facial image modality may be executed for the sole purpose of Article 32(2) of Regulation (EU) 2017/2226. In that case the user shall specify the capping value of the number of returned candidate matches. The maximum number of returned files is four hundred. In a first step, the user shall gain access to two hundred best matching files. If necessary, the access to the remaining two hundred files shall be granted by the system, if the user confirms that the initial search did not lead to a successful match.
Annotations
Footnotes
- f1
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Permutation of hands allows for comparing fingerprints of one hand with the one of the other hand. This is improving the matching accuracy in the case the sample hand is not known.