Development of Feature Extraction Technique

Authors

  • Dr. Girish Katkar  Arts Commerce and Science College, Koradi, Nagpur, Maharashtra, India
  • Prakash Tukaram Raut  Prof. Ramkrushna More College, Akurdi, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST229378

Keywords:

Face Detection, Face Recognition, Feature Extraction, Biometrics, Neural Network, PCA, LDA Wavelet.

Abstract

A problem of personal verification and identification is an actively growing area of research in pattern recognition, computer vision, and digital image processing. A Face acknowledgment system is largely significant move toward in our life. Face acknowledgment method must be proficient to robotically identify images of face. This system mainly used to recognize a person and make available a protection during various features of our life. It is extremely complicated job for investigator to obtain mainly excellent face acknowledgment velocity in a variety of circumstances and benchmarks. Face recognition is grassland of computer visualization to uses faces to recognize or authenticate a human being. Principal Component Analysis (PCA) is accomplished and used for feature extraction and measurement lessening. The feature extraction is used to reduce the dimension of the face space by transforming it into feature representation. Features may be symbolic, numerical or both. The symbolic feature is color and numerical feature is weight. The combined feature extraction of PCA, LDA and Wavelet are used in proposed feature extraction algorithm for human face recognition system. The structure is tested and achieves high recognition rates. Information regarding individuals was stored in a database.

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

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How to Cite

[1]
Dr. Girish Katkar, Prakash Tukaram Raut "Development of Feature Extraction Technique" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 3, pp.495-507, May-June-2022. Available at doi : https://doi.org/10.32628/IJSRST229378