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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Proceedings ArticleDOI
Survey on implementation of enhanced uniform circular local binary pattern algorithm for sketch recognition
Shital Zalke,P.S. Mohod +1 more
TL;DR: Because face sketches represent the original faces in a very short recognizable form, they play an vital role in criminal investigations, human illustration discernment, and face biometrics.
Book ChapterDOI
Face Recognition Based on Human Sketches Using Fuzzy Minimal Structure Oscillation in the SIFT Domain
TL;DR: A new algorithm with the help of Scale Invariant Feature Transformation (SIFT) along with fuzzy \( m_{X}^{*} \) oscillation has achieved its aim of recognizing the face sketches in the SIFT domain.
Proceedings ArticleDOI
Face sketch recognition system: A content based image retrieval approach
TL;DR: A new use of CBIR approach is presented in an important application that can assist law enforcement in solving many complicated crimes by matching forensic sketch with digital human face or face sketch recognition system.
Journal ArticleDOI
Part-facial relational and modality-style attention networks for heterogeneous face recognition
TL;DR: Jian et al. as discussed by the authors proposed a cross-modality dual-constraint (CMDC) approach that includes the part-facial relational attention network (PRAN) and modality-style attention network(MSAN), which can estimate the intrinsic structural relationships of local content features on each modality.
Journal ArticleDOI
Multi-directional local adjacency descriptors (MDLAD) for heterogeneous face recognition
TL;DR: The proposed descriptors combine directional and neighborhood information using a rotating spoke and concentric rings concept as multi-directional local adjacency descriptors (MDLAD), which yields a robust classification for heterogeneous face recognition with respect to the state-of-the-art methods.
References
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Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: The Scale-Invariant Feature Transform (or SIFT) algorithm is a highly robust method to extract and consequently match distinctive invariant features from images that can then be used to reliably match objects in diering images.
Journal ArticleDOI
Ten Lectures on Wavelets
TL;DR: In this article, the regularity of compactly supported wavelets and symmetry of wavelet bases are discussed. But the authors focus on the orthonormal bases of wavelets, rather than the continuous wavelet transform.
Journal ArticleDOI
Face Description with Local Binary Patterns: Application to Face Recognition
TL;DR: This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features that is assessed in the face recognition problem under different challenges.
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