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Abstract: In this paper we study an efficient face and fingerprint recognition system using two methodologies discrete cosine transform (DCT) and principal component analysis (PCA). The experimentation is done on the standard datasets, such as ORL, UMIST for face and FVC dataset for fingerprint. From the trial result, it is demonstrated that DCT based system has enhanced recognition rate than PCA approach
Keywords:
PCA,DCT
Cite Article:
"Analysis of Faca and Fingerprint Based Biometric System Using Traditional Approaches", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 1, page no.31-35, February-2017, Available :http://www.ijrti.org/papers/IJRTI1701006.pdf
Downloads:
000204830
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator