Deep feature representation and ball-tree for face sketch recognition

Weiguo Wan () and Hyo Jong Lee ()
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Weiguo Wan: Chonbuk National University
Hyo Jong Lee: Chonbuk National University

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 4, No 10, 818-823

Abstract: Abstract Forensic face sketch-photo recognition attracts considerable interest in the law enforcement agencies. This paper proposes a new face sketch-photo recognition method based on the VGG deep feature and ball-tree searching algorithm. In this paper, the recognition performances by different feature layers of pretrained VGG-Face model are explored. In addition, to accelerate the matching speed, the ball-tree algorithm is adopted to search the nearest neighbors of query sketches from gallery photos. The experimental results on CUFS and IIIT-D datasets demonstrate the superiority of the proposed method compared with existing algorithms.

Keywords: Face sketch recognition; VGG-face networks; Deep feature; Ball-tree (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s13198-019-00882-x

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