Suspect identification based on descriptive facial attributes

Brendan F. Klare*, Scott Klum, Joshua C. Klontz, Emma Taborsky, Tayfun Akgul, Anil K. Jain

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

43 Citations (Scopus)

Abstract

We present a method for using human describable face attributes to perform face identification in criminal investigations. To enable this approach, a set of 46 facial attributes were carefully defined with the goal of capturing all describable and persistent facial features. Using crowd sourced labor, a large corpus of face images were manually annotated with the proposed attributes. In turn, we train an automated attribute extraction algorithm to encode target repositories with the attribute information. Attribute extraction is performed using localized face components to improve the extraction accuracy. Experiments are conducted to compare the use of attribute feature information, derived from crowd workers, to face sketch information, drawn by expert artists. In addition to removing the dependence on expert artists, the proposed method complements sketchbased face recognition by allowing investigators to immediately search face repositories without the time delay that is incurred due to sketch generation.

Original languageEnglish
Title of host publicationIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479935840
DOIs
Publication statusPublished - 23 Dec 2014
Event2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014 - Clearwater, United States
Duration: 29 Sept 20142 Oct 2014

Publication series

NameIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics

Conference

Conference2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014
Country/TerritoryUnited States
CityClearwater
Period29/09/142/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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