• Smt .K. S. Sukrutha
• Smt. V. Rajitha

Different statistical methods for fingerprint verification have been proposed in recent years and different research groups have reported contradictory results when comparing them. In this work, Fingerprint Recognition based on Eigen Space method is adopted. The original fingerprint images are transformed into a small set of feature space, called “eigen finger”, which are the eigen vectors of the training set and can represent the principle components of a typical finger prints. Then, the Eigen finger features are extracted by projecting a new fingerprint image into the subspace spanned by the “eigen finger”, and applied to fingerprint recognition with a Euclidean distance classifier. Experimental results illustrate the effectiveness of the method in terms of the recognition rate. The proposed solution of the fingerprint recognition is based on the fingerprint authentication algorithms - Principal Component Analysis, Independent Component Analysis 1, Independent Component Analysis 2, Fisher’s Linear Discriminator and Gabor transform using fingerprint Images. The goal of this work is to present comparative study of hybrid approaches of five most popular subspace-based fingerprint verification algorithms (PCA, ICA-1, ICA-2, FLD and Gabor transformation). The motivation was the lack of direct and detailed independent comparison in all possible algorithm implementations. It will be shown that no particular hybrid approach is the optimal and the choice of appropriate hybrid approach can only be made for a specific task.

PCA(Principal component analysis), ICA (Independent Component Analysis), FLD(Fisher's Linear Discriminant), Eigen space, and Gabor.

"Hybrid Approaches To Person Verification Using Fingerprint", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.270-276, April-2019, Available :http://www.jetir.org/papers/JETIR1904Q48.pdf

"Hybrid Approaches To Person Verification Using Fingerprint", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp270-276, April-2019, Available at : http://www.jetir.org/papers/JETIR1904Q48.pdf