Journal ArticleDOI
Memetically Optimized MCWLD for Matching Sketches With Digital Face Images
TLDR
An automated algorithm to extract discriminating information from local regions of both sketches and digital face images is presented and yields better identification performance compared to existing face recognition algorithms and two commercial face recognition systems.Abstract:
One of the important cues in solving crimes and apprehending criminals is matching sketches with digital face images. This paper presents an automated algorithm to extract discriminating information from local regions of both sketches and digital face images. Structural information along with minute details present in local facial regions are encoded using multiscale circular Weber's local descriptor. Further, an evolutionary memetic optimization algorithm is proposed to assign optimal weight to every local facial region to boost the identification performance. Since forensic sketches or digital face images can be of poor quality, a preprocessing technique is used to enhance the quality of images and improve the identification performance. Comprehensive experimental evaluation on different sketch databases show that the proposed algorithm yields better identification performance compared to existing face recognition algorithms and two commercial face recognition systems.read more
Citations
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Journal ArticleDOI
Caricature Face Photo Facial Attribute Similarity Generator
TL;DR: In this paper , a cross-domain qualitative feature-based approach was proposed to match caricature with mugshot, which uses Haar-like features for the detection of the face and other facial attributes.
EUCLBP Matching Algorithm for Forensic Applications
TL;DR: Comprehensive experimental evaluation on different sketch databases show that the proposed algorithm yields better identification performance compared to existing face recognition algorithms and two commercial face recognition systems.
Journal ArticleDOI
Facial-sketch Synthesis: A New Challenge
Xuebin Qin,Peter McCullagh +1 more
TL;DR: Fan et al. as mentioned in this paper proposed FS2K, which consists of 2 104 image-sketch pairs spanning three types of sketch styles, image backgrounds, lighting conditions, skin colors, and facial attributes.
Journal ArticleDOI
Exploiting an Intermediate Latent Space between Photo and Sketch for Face Photo-Sketch Recognition
TL;DR: This work features a novel approach to the use of an intermediate latent space between the two modalities that circumvents the problem of modality gap for face photo-sketch recognition and introduces a three-step training scheme.
References
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Ten Lectures on Wavelets
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Face Description with Local Binary Patterns: Application to Face Recognition
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