Fingerprint verification using wavelet and local dominant orientation

Fingerprint verification systems have attracted much attention in secure organizations; however, conventional methods still suffer from unconvincing recognition rate for noisy fingerprint images. To design a robust verification system, in this paper, wavelet and contourlet transforms (CTS) were suggested as efficient feature extraction techniques to elicit a coverall set of descriptive features to characterize fingerprint images. Contourlet coefficients capture the smooth contours of fingerprints while wavelet coefficients reveal its rough details. Due to the high dimensionality of the elicited features, across group variance (AGV), greedy overall relevancy (GOR) and Davis–Bouldin fast feature reduction (DB-FFR) methods were adopted to remove the redundant features. These features were applied to three different classifiers including Boosting Direct Linear Discriminant Analysis (BDLDA), Support Vector Machine (SVM) and Modified Nearest Neighbor (MNN). The proposed method along with state-of-the-art methods were evaluated, over the FVC2004 dataset, in terms of genuine acceptance rate (GAR), false acceptance rate (FAR) and equal error rate (EER). The features selected by AGV were the most significant ones and provided 95.12% GAR. Applying the selected features, by the GOR method, to the modified nearest neighbor, resulted in average EER of [Formula: see text]%, which outperformed the compared methods. The comparative results imply the statistical superiority ([Formula: see text]) of the proposed approach compared to the counterparts.

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Fingerprint verification by correlation using wavelet compression of preprocessing digital images

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society ◽

10.1109/iecon.2012.6388517 ◽

2012 ◽

Author(s):

Y. Morales ◽

L. Diaz ◽

F. Vega ◽

C. Torres ◽

L. Mattos

Keyword(s):

Digital Images ◽

Fingerprint Verification ◽

Wavelet Compression

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The Antecedents and Consequences of Rapport between Customers and Salespersons in the Tourism Industry

Sustainability ◽

10.3390/su13052783 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2783

Author(s):

Jinsoo Hwang ◽

Kwang-Woo Lee ◽

Seongseop (Sam) Kim

Keyword(s):

Customer Satisfaction ◽

Structural Equation ◽

Word Of Mouth ◽

Positive Influence ◽

Tourism Industry ◽

Equation Modeling ◽

Brand Preference ◽

Theoretical Understanding ◽

Dominant Orientation ◽

Antecedents And Consequences

This study examined the antecedents and consequences of rapport between customers and salespersons in the context of duty-free shops. Specifically, this study proposed six sub-dimensions of service-dominant orientation (i.e., relational, ethical, individuated, empowered, concerted, and developmental interactions). These dimensions have a positive influence on rapport. In addition, rapport is hypothesized to aid in the formation of customer satisfaction and brand preference, which in turn positively affects word-of-mouth communications. Data were collected from 649 Chinese shoppers who have purchased a product in a Korean duty-free shop. In addition, this study employed confirmatory factor analysis to check the adequacy of the measurement items and structural equation modeling to test 11 hypotheses. Data analysis results indicated that five sub-dimensions of service-dominant orientation, excluding individuated interaction, play an important role in the formation of rapport. Furthermore, rapport has a positive effect on customer satisfaction and brand preference, which in turn positively affects word-of-mouth communications. The findings of this study offer valuable insights for managers of duty-free stores into the most effective methods for managing their operations and providing an appropriate blend of products. Furthermore, this paper contributes to theoretical understanding in this area by improving the acceptability of a commonly believed shopper behavior model.

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