This paper is published in Volume-2, Issue-5, 2016
Area
Information Technology
Author
Jaspreet Kaur, Navleen Kaur
Org/Univ
Chandigarh Engineering college, Landran,Punjab, India
Pub. Date
24 October, 2016
Paper ID
V2I5-1178
Publisher
Keywords
fingerprint,bio metric,authentication.

Citationsacebook

IEEE
Jaspreet Kaur, Navleen Kaur. Efficient Fingerprint Recognition using Wavelet Transforms, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Jaspreet Kaur, Navleen Kaur (2016). Efficient Fingerprint Recognition using Wavelet Transforms. International Journal of Advance Research, Ideas and Innovations in Technology, 2(5) www.IJARIIT.com.

MLA
Jaspreet Kaur, Navleen Kaur. "Efficient Fingerprint Recognition using Wavelet Transforms." International Journal of Advance Research, Ideas and Innovations in Technology 2.5 (2016). www.IJARIIT.com.

Abstract

Fingerprints have long been used as a reliable biometric feature for private identification. Fingerprint classification refers to the matter of assignment fingerprints to 1 of many prespecified categories. Automatic classification may be used as a pre-processing step for fingerprint matching, reducing matching time and complexness by narrowing the search area to a set of a usually large info. Automatic fingerprint identification is one among the foremost vital biometric technologies. so as to expeditiously match fingerprints during a massive info, Associate in Nursing classification theme is critical. Fingerprint classification, that refers to assignment a fingerprint image into variety of pre-specified categories, provides a possible classification mechanism. In observe, but massive intra-class and tiny interclass variations in world pattern configuration and poor quality of fingerprint pictures build the classification drawback terribly tough. A fingerprint classification algorithmic program needs a sturdy feature extractor that ought to be ready to reliable extract salient options from input pictures
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