A Proficient Feature Extraction of Face and Gait Cues Using Local Gabor Scale Average Binary Patterns (GSA-LBP) for Multimodal Recognition

Author:

Santhi N.ORCID,Annbuselvi K.ORCID,Sivakumar S.ORCID

Publisher

Springer Nature Singapore

Reference19 articles.

1. Annbuselvi K, Santhi N (2017) Intelligences of fusing face and gait in multimodal biometric system: a contemporary study. Int J Comput Sci Trends Technol (IJCST) 10(10)516–522. ISSN: 2347-8578

2. Santhi N, Annbuselvi K, Sivakumar S (2021) An efficient Gabor scale average (GSA) based PCA to LDA feature extraction of face and gait cues for multimodal classifier, Springer’s book series “Advances in Intelligent Systems and Computing. In: Innovations in computational intelligence and computer vision: Proceedings of ICICV, ISSN 2194-5357, ISSN 2194-5365 (electronic), Advances in intelligent systems and computing, ISBN 978-981-19-0474-5 ISBN 978-981-19-0475-2 (eBook), pp 153–164. https://doi.org/10.1007/978-981-19-0475-2

3. Wu P, Li XH, Zhou JL et al (2009) Face expression recognition based on feature fusion, intelligent systems and applications, international workshop on. IEEE, ISA 2009:1–4

4. Abdulrahman M, Gwadabe TR, Abdu FJ, Eleyan A (2014) Gabor wavelet transform based facial expression recognition using PCA and LBP. In: IEEE 22nd signal processing and communications applications conference (SIU 2014), pp 2265–2268

5. Zhang B, Liu G (2016) Facial expression recognition using LBP and LPQ based on Gabor wavelet transform. In: 2nd IEEE international conference on computer and communications, Chengdu

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