README.md

Age-Invarient-Face-Recognization-AIFR

-->PCA-for dimensionality reduction.

-->LBP- it's efficient in the illumination, rotation, and grayscale variance

-->WHT- Walsh-Hadamard Transform(WHT) for orthogonal transformation is used for feature extraction. Before applying LBP here I applied the first Walsh-Hadamard Transform (WHT) for orthogonal transformation.

AIFR Poster

AIFR link of the paper for whole process flow:

https://www.researchgate.net/profile/Priyanka_Patel8/publication/315892151_Investigate_Age_Invariant_Face_Recognition_Using_PCA_LBP_Walsh_Hadamard_Transform_with_Neural_Network/links/58ec89e40f7e9b6b274bb17c/Investigate-Age-Invariant-Face-Recognition-Using-PCA-LBP-Walsh-Hadamard-Transform-with-Neural-Network.pdf

To learn more about the background of the dataset, and the AIFR you must visit the : https://scholar.google.com/scholar?cluster=3626589220394005192&hl=en&as_sdt=2005

You must cite this paper if you use the idea:

Patel, P., and A. Ganatra. "Investigate age invariant face recognition using PCA, LBP, Walsh Hadamard transform with a neural network." International Conference on Signal and Speech Processing (ICSSP-14). 2014. ##BibTex @inproceedings{patel2014investigate, title={Investigate age invariant face recognition using PCA, LBP, Walsh Hadamard transform with neural network}, author={Patel, P and Ganatra, A}, booktitle={International Conference on Signal and Speech Processing (ICSSP-14)}, pages={266--274}, year={2014} }