Authors : Sri Rekha Uppuluri; Nikita Gaur

Volume/Issue : Volume 11 - 2026, Issue 7 - July

Google Scholar : https://tinyurl.com/y9fewrkd

Scribd : https://tinyurl.com/2jpm4dnw

DOI : https://doi.org/10.38124/ijisrt/26jul430

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This paper presents an overview of different feature extraction methods for face recognition. Selection of feature extraction method is probably the single most important factor in achieving high recognition performance in recognition system. Different feature extraction methods are designed for different representations of the facial representation. Recognition has been extensively studied in the last half century and progressed to a level, sufficient to produce technology driven applications. Rapidly growing computational power may enable the implementation of recognition methodologies. So here the feature extraction methods are discussed in terms of invariance properties reconstructability and variability of facial expression. This paper may solve the problem of choosing the feature extraction methods.

Keywords : Feature Extraction, Feature Extraction Techniques, Machine Readable Travel Documents (MRTD).

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