High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Fingerprint Recognition Procedure for High Recognition Rate: A Survey

Author(s):

Dinesh Gupta , jabalpur engineering collage; Shailja Shukla, jabalpur engineering collage

Keywords:

FR: Fingerprint Recognition, FA: Fingerprint Authentication, MMSE: Minimum Mean Square Error, MFM: Morphological Filtering Method, MP: Miniature Points

Abstract

Fingerprint recognition system design may be used for authentication of right person in real time situation however at RFID based authentication is not reliable because it may be used by anyone. Fingerprint recognition has many of application in society form authentication; Internet banking, Identity to finding criminals. limitation of available work is to find correct person when latent prints (blur fingerprint) normally available procedure is has less recognition rate for latent figure prints also time for recognition is also very high hence it is also require to reduce time for recognition & improve throughput. Objective for this thesis is to develop an algorithm which may efficiently recognise latent figure print with high recognition rate & with high throughput. Latent fingerprint [1] have very less miniature points less information to find out correct fingerprint & that does not let us find correct fingerprint hence it is necessary to enhance Latent fingerprint [1] quality & to improve miniature points. To enhance fingerprint quality pre-processing is done in proposed work with cropping of fingerprint followed by morphological filter in cropping centre area of fingerprint & morphological filter uses erosion & dilation method enhance fingerprint quality & improve miniature points.

Other Details

Paper ID: IJSRDV4I70302
Published in: Volume : 4, Issue : 7
Publication Date: 01/10/2016
Page(s): 450-454

Article Preview

Download Article