scholarly journals FINGERPRINT VERIFICATION BY USING MINUTIAE MATCHING TECHNIQUE

2020 ◽  
Vol 2 (10) ◽  
Author(s):  
BAPPA SARKAR ◽  
JOYASSREE SEN ◽  
MD. ATIQUR RAHMAN ◽  
MD. HABIBUR RAHMAN
Keyword(s):  
Fingerprint Verification ◽  
Matching Technique ◽  
Minutiae Matching

A Contactless Fingerprint Verification Method using a Minutiae Matching Technique

2016 ◽  
Vol 6 (1) ◽  
pp. 12-27 ◽  
Author(s):  
Tahirou Djara ◽  
Marc Kokou Assogba ◽  
Antoine Vianou
Keyword(s):  
Orientation Angle ◽  
Input Image ◽  
Fingerprint Matching ◽  
Matching Method ◽  
Fingerprint Verification ◽  
Excessive Pressure ◽  
Verification Method ◽  
Matching Technique ◽  
Euclidean Distances ◽  
Minutiae Matching

Most of matching or verification phases of fingerprint systems use minutiae types and orientation angle to find matched minutiae pairs from the input and template fingerprints. Unfortunately, due to some non-linear distortions, like excessive pressure and fingers twisting during enrollment, this process can cause the minutiae features to be distorted from the original. The authors are then interested in a fingerprint matching method using contactless images for fingerprint verification. After features extraction, they compute Euclidean distances between template minutiae (bifurcation and ending points) and input image minutiae. They compute then after bifurcation ridges orientation angles and ending point orientations. In the decision stage, they analyze the similarity between templates. The proposed algorithm has been tested on a set of 420 fingerprint images. The verification accuracy is found to be acceptable and the experimental results are promising.

scholarly journals Image enhancement and minutiae matching in fingerprint verification

2003 ◽  
Vol 24 (9-10) ◽  
pp. 1349-1360 ◽  
Author(s):  
Yuliang He ◽  
Jie Tian ◽  
Xiping Luo ◽  
Tanghui Zhang
Keyword(s):  
Image Enhancement ◽  
Fingerprint Verification ◽  
Minutiae Matching

A Secured Contactless Fingerprint Verification Method Using a Minutiae Matching Technique

2018 ◽  
pp. 221-245
Author(s):  
Tahirou Djara ◽  
Marc Kokou Assogba ◽  
Antoine Vianou
Keyword(s):  
Orientation Angle ◽  
Input Image ◽  
Fingerprint Matching ◽  
Fingerprint Verification ◽  
Excessive Pressure ◽  
Verification Method ◽  
Template Protection ◽  
Euclidean Distances ◽  
Minutiae Matching ◽  
Future Work

Most matching or verification phases of fingerprint systems use minutiae types and orientation angle to find matched minutiae pairs from the input and template fingerprints. Unfortunately, due to some non-linear distortions, like excessive pressure and fingers twisting during enrollment, this process can cause the minutiae features to be distorted from the original. The authors are interested in a fingerprint matching method using contactless images for fingerprint verification. After features extraction, they compute Euclidean distances between template minutiae (bifurcation and ending points) and input image minutiae. They compute then after bifurcation ridges orientation angles and ending point orientations. In the decision stage, they analyze the similarity between templates. The proposed algorithm has been tested on a set of 420 fingerprint images. The verification accuracy is found to be acceptable and the experimental results are promising. Future work will enhance the proposed verification method by a new template protection technique.

FIDDLE. Simultaneous Indexing and Structure Solution from Powder Diffraction Data using a Genetic Algorithm and Correlation Functions

2019 ◽  
Author(s):  
Carmen Guguta ◽  
Jan M.M. Smits ◽  
Rene de Gelder
Keyword(s):  
Genetic Algorithm ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Correlation Functions ◽  
Cross Correlation ◽  
Simultaneous Optimization ◽  
Powder Diffraction Data ◽  
Structure Solution ◽  
Matching Technique

A method for the determination of crystal structures from powder diffraction data is presented that circumvents the difficulties associated with separate indexing. For the simultaneous optimization of the parameters that describe a crystal structure a genetic algorithm is used together with a pattern matching technique based on auto and cross correlation functions.<br>

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