Variable length sliding models for banking clients face biometry

Szczuko, Piotr; Czyżewski, Andrzej; Szczodrak, Maciej

doi:10.1007/s11042-018-6432-4

Cited by 5 publications

(9 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A detailed description of the procedure was published in the pilot study [13]. An approach with time‐adaptive, self‐learning sliding models was also developed [15].…”

Section: Data Collection Methodsmentioning

confidence: 99%

“…In our work, the research was conducted using 100 multimodal biometric stations engineered by the authors [13][14][15] and distributed in real conditions, equipped with sensors for data acquisition and with processing software enabling registration, and then verification of identity employing four modalities: digital handwritten signature, voice, face image, and hand vein scan. One more modality -face contour -was also registered, hence data were collected during the study, to develop the modality based on the side profile of the face in the future.…”

Section: Introductionmentioning

confidence: 99%

“…This paper presents the final stage of the work with participation of over 10,000 individuals, allowing for a significant improvement of hitherto made attempt results. As a detailed description of individual biometric methods was published previously [13][14][15], thus here we focus on the final analysis employing linguistic method for sentiment assessment, and rough set (RS) modelling to predict users' future performance.…”

Section: Introductionmentioning

confidence: 99%

“…First, the pilot study with participation of 126 persons was conducted [13], proving the methodology was appropriate for multimodal biometry identity verification. Later on, the experimental work was extended to 7166 individuals [14, 15], allowing to validate developed methods, extensively. This paper presents the final stage of the work with participation of over 10,000 individuals, allowing for a significant improvement of hitherto made attempt results.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Analysis of results of large‐scale multimodal biometric identity verification experiment

et al. 2018

View full text Add to dashboard Cite

An analysis of a large set of biometric data obtained during the enrolment and the verification phase in an experimental biometric system installed in bank branches is presented. Subjective opinions of bank clients and of bank tellers were also surveyed concerning the studied biometric methods in order to discover and to explore relations emerging from the obtained multimodal dataset. First, data acquisition and identity verification methods are described in this study. Then, relationships between ratios of successful and failed verifications between pairs, triplets, and quartets of biometric modalities are studied. An analysis of the sentiment of clients and of banking tellers related to each identity verification attempt was performed based on linguistic methods. The data mining process is described, based on the rough sets methodology, aimed at deriving rules pertaining to consecutive identity verification attempts.

show abstract

“…A detailed description of the procedure was published in the pilot study [13]. An approach with time‐adaptive, self‐learning sliding models was also developed [15].…”

Section: Data Collection Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of results of large‐scale multimodal biometric identity verification experiment

et al. 2018

View full text Add to dashboard Cite

show abstract

“…A dedicated algorithm for processing the given modality calculates a difference or similarity between the input sample and the pattern features of the previously enrolled identity. Details of the algorithms were described earlier in our work [ 2 , 3 , 27 ] and are briefly characterized below.…”

Section: Implementation Of Comparison Score Fusionmentioning

confidence: 99%

Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application

Szczuko

Harasimiuk

Czyżewski

2022

Sensors

Self Cite

View full text Add to dashboard Cite

An evaluation of decision fusion methods based on Dempster-Shafer Theory (DST) and its modifications is presented in the article, studied over real biometric data from the engineered multimodal banking client verification system. First, the approaches for multimodal biometric data fusion for verification are explained. Then the proposed implementation of comparison scores fusion is presented, including details on the application of DST, required modifications, base probability, and mass conversions. Next, the biometric verification process is described, and the engineered biometric banking system principles are provided. Finally, the validation results of three fusion approaches on synthetic and real data are presented and discussed, considering the desired outcome manifested by minimized false non-match rates for various assumed thresholds and biometric verification techniques.

show abstract

Usability study of various biometric techniques in bank branches

Harasimiuk,

Czyżewski

2023

Procedia Computer Science

View full text Add to dashboard Cite

Variable length sliding models for banking clients face biometry

Cited by 5 publications

References 21 publications

Analysis of results of large‐scale multimodal biometric identity verification experiment

Analysis of results of large‐scale multimodal biometric identity verification experiment

Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application

Usability study of various biometric techniques in bank branches

Contact Info

Product

Resources

About