Proceedings ArticleDOI
Evolutionary granular approach for recognizing faces altered due to plastic surgery
Himanshu Bhatt,Samarth Bharadwaj,Richa Singh,Mayank Vatsa,Afzel Noore +4 more
- pp 720-725
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TLDR
An evolutionary granular approach for matching face images that have been altered by plastic surgery procedures is proposed using genetic algorithm to simultaneously optimize the selection of feature extractor for each face granule along with finding optimal weights corresponding to each facegranule for matching.Abstract:
Recognizing faces with altered appearances is a challenging task and is only now beginning to be addressed by researchers. The paper presents an evolutionary granular approach for matching face images that have been altered by plastic surgery procedures. The algorithm extracts discriminating information from non-disjoint face granules obtained at different levels of granularity. At the first level of granularity, both pre and post-surgery face images are processed by Gaussian and Laplacian operators to obtain face granules at varying resolutions. The second level of granularity divides face image into horizontal and vertical face granules of varying size and information content. At the third level of granularity, face image is tessellated into non-overlapping local facial regions. An evolutionary approach is proposed using genetic algorithm to simultaneously optimize the selection of feature extractor for each face granule along with finding optimal weights corresponding to each face granule for matching. Experiments on pre and post-plastic surgery face images show that the proposed algorithm provides at least 15% better identification performance as compared to other face recognition algorithms.read more
Citations
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Proceedings ArticleDOI
Block based face recognition approach robust to nose alterations
TL;DR: The results indicate that although both 2D and 3D modalities lose precision due to alterations, the proposed approach is superior in terms of both the recognition performance and robustness to alterations compared to standard techniques.
Proceedings ArticleDOI
Surgically altered face detection using log-Gabor wavelet
TL;DR: An edge-based log-Gabor feature representation approach for the recognition of surgically altered faces, termed as Edge-based Histogram of log- Gabor Magnitude Patterns (Edge-based HLGMP), is proposed and is very simple but effective.
Journal ArticleDOI
Deep facial recognition after medical alterations
Tanupreet Sabharwal,Rashmi Gupta +1 more
Journal ArticleDOI
Human facial expression analysis based on image granule LPP
TL;DR: This paper proposes a synthetic technique for human facial expression analysis based on locality preserving projections (LPP) and granular computing and preserves the performance of LPP algorithm to facial expression recognition.
DissertationDOI
Techniques for ocular biometric recognition under non-ideal conditions
Arun Ross,Raghavender Jillela +1 more
TL;DR: The techniques presented in this dissertation can be used to improve iris and ocular recognition in practical, unconstrained environments and have modest computational requirements while resulting in better recognition performance.
References
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