Open Access Open Access  Restricted Access Subscription Access

Improve Fingerprint Recognition Using Both Minutiae Based and Pattern Based Method


Affiliations
1 B.V.M. Engineering College, GTU, V.V. Nagar-388120, India
2 IT dept, B.V.M. Engineering College, GTU, V.V. Nagar-388120, India
 

Fingerprint recognition is one of the biometric techniques that are used for identification purpose. A number of recognition methods have been used to perform fingerprint matching. The Straightforward matching between the fingerprint pattern to be identified and many already known patterns would not serve well due to its high sensitivity to errors. This paper presents a combination of pattern based and minutiae based method. Here first core point, delta points and minutiae features are found and based on that matching is to be done. Here poor quality of fingerprint images are also enhanced using wiener low pass filter.

Keywords

Fingerprint, Pattern, Minutiae Features, Low Pass Filter.
User
Notifications
Font Size

Abstract Views: 221

PDF Views: 0




  • Improve Fingerprint Recognition Using Both Minutiae Based and Pattern Based Method

Abstract Views: 221  |  PDF Views: 0

Authors

Avani Patel
B.V.M. Engineering College, GTU, V.V. Nagar-388120, India
Vikram Agrawal
IT dept, B.V.M. Engineering College, GTU, V.V. Nagar-388120, India
Vatsal H. Shah
IT dept, B.V.M. Engineering College, GTU, V.V. Nagar-388120, India

Abstract


Fingerprint recognition is one of the biometric techniques that are used for identification purpose. A number of recognition methods have been used to perform fingerprint matching. The Straightforward matching between the fingerprint pattern to be identified and many already known patterns would not serve well due to its high sensitivity to errors. This paper presents a combination of pattern based and minutiae based method. Here first core point, delta points and minutiae features are found and based on that matching is to be done. Here poor quality of fingerprint images are also enhanced using wiener low pass filter.

Keywords


Fingerprint, Pattern, Minutiae Features, Low Pass Filter.