Proceedings ArticleDOI
Face recognition for look-alikes: A preliminary study
TLDR
The analysis shows that neither humans nor automatic face recognition algorithms are efficient in recognizing look-alikes, and an algorithm is proposed to improve the face verification accuracy.Abstract:
One of the major challenges of face recognition is to design a feature extractor and matcher that reduces the intraclass variations and increases the inter-class variations. The feature extraction algorithm has to be robust enough to extract similar features for a particular subject despite variations in quality, pose, illumination, expression, aging, and disguise. The problem is exacerbated when there are two individuals with lower inter-class variations, i.e., look-alikes. In such cases, the intra-class similarity is higher than the inter-class variation for these two individuals. This research explores the problem of look-alike faces and their effect on human performance and automatic face recognition algorithms. There is three fold contribution in this research: firstly, we analyze the human recognition capabilities for look-alike appearances. Secondly, we compare human recognition performance with ten existing face recognition algorithms, and finally, proposed an algorithm to improve the face verification accuracy. The analysis shows that neither humans nor automatic face recognition algorithms are efficient in recognizing look-alikes.read more
Citations
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Journal ArticleDOI
Automated kinship verification and identification through human facial images: a survey
TL;DR: It is found that Deep Learning (DL) has mostly outperformed numerous methods using manually designed features by automatically learning and extracting important information from facial features, and enable significant visual recognition functions by improving accuracy in most applications.
Journal ArticleDOI
Open-set face recognition across look-alike faces in real-world scenarios
TL;DR: This work introduces three real-world open-set face recognition methods across facial plastic surgery changes and a look-alike face by 3D face reconstruction and sparse representation, and proposes likeness dictionary learning.
Journal ArticleDOI
Face identification using some novel local descriptors under the influence of facial complexities
TL;DR: The proposed LGS variants attempt to improve the performance of the face identification system under the influence of pose changes, facial expression changes, illumination variation, makeup, accessories, accessories and facial complexity.
Proceedings ArticleDOI
Biometric identification of identical twins: A survey
Kevin W. Bowyer,Patrick J. Flynn +1 more
TL;DR: This survey pulls together the literature to date in the ability of biometric techniques to distinguish between identical twins, identifies available datasets for research, points out topics of uncertainty and suggests possible future research.
Proceedings ArticleDOI
Face recognition system invariant to plastic surgery
N. S. Lakshmiprabha,S. Majumder +1 more
TL;DR: The result from surgical and non-surgical face database shows that the proposed face recognition system can easily tackle illumination, pose, expression, occlusion and plastic surgery variations in face images.
References
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