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A Scenario of Biometric Recognition System for Image Identification Using PCA
Dr. Dinesh Chandra Jain
In this paper, to recognize the face or image through Principal Component Analysis (PCA). It is a way to read an image or pattern from database and match quickly. The principal component analysis is used for feature extraction and Eigen face algorithm for pattern matching. It is an useful technique to reduce the dimensionality of datasets for compression or recognition purposes. Through this image identified in data and expressing the data in such a way as to highlight their similarities and differences. The representation produced during tests are commonly called eigenvectors and in the context of face recognition.
Keywords- PCA, Eigen face Algo, Pattern matching, eigen vector.
Unique Identification Number - IJEDR1804094Page Number(s) - 526-529Pubished in - Volume 6 | Issue 4 | December 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Dr. Dinesh Chandra Jain,   "A Scenario of Biometric Recognition System for Image Identification Using PCA"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.526-529, December 2018, Available at :http://www.ijedr.org/papers/IJEDR1804094.pdf