N
Neeta Nain
Researcher at Malaviya National Institute of Technology, Jaipur
Publications - 110
Citations - 846
Neeta Nain is an academic researcher from Malaviya National Institute of Technology, Jaipur. The author has contributed to research in topics: Computer science & Feature extraction. The author has an hindex of 13, co-authored 98 publications receiving 586 citations.
Papers
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Proceedings ArticleDOI
Longitudinal Study of Child Face Recognition
TL;DR: A longitudinal study of face recognition performance on Children Longitudinal Face dataset containing 3,682 face images of 919 subjects, in the age group [2,18] years, to evaluate state-of-the-art face recognition technology for tracing and identifying children lost at a young age as victims of child trafficking or abduction.
Proceedings ArticleDOI
A Hybrid Method of Feature Extraction for Facial Expression Recognition
TL;DR: A combined method of feature extraction using Discrete Cosine Transform, Gabor Filter, Wavelet Transform and Gaussian distribution to improve the recognitionrate of facial expression recognition is proposed.
Journal ArticleDOI
A novel approach for sharing multiple color images by employing Chinese Remainder Theorem
TL;DR: This paper proposes a secure ( n, n ) -Multi Secret Sharing (MSS) scheme using Chinese Remainder Theorem (CRT), which outperforms the existing techniques in terms of randomness and security.
Journal ArticleDOI
A Hybrid Feature Extraction Algorithm for Devanagari Script
TL;DR: A hybrid approach combining the structural features of the character and a mathematical model of curve fitting to simulate the best features of a character to achieve script-independent feature representation is proposed.
Book ChapterDOI
Crowd Monitoring and Classification: A Survey
Sonu Lamba,Neeta Nain +1 more
TL;DR: This review summarizes the shortcomings, strength and applicability of existing methods in different environmental scenarios and overlays the path to device a proficient method of crowd monitoring and classification which can deal with most of the challenges related to this area.