Bence Kovari

About Bence Kovari

Bence Kovari, With an exceptional h-index of 11 and a recent h-index of 7 (since 2020), a distinguished researcher at Budapesti Muszaki és Gazdaságtudományi Egyetem, specializes in the field of biometrics, signature verification, image processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring fair scheduling aspects–Through final exam scheduling

Comparison of a Deep Learning-based Axle Load Estimator and the Matrix Method in Strain Gauge-based Bridge Weigh-In-Motion Systems

Systematic evaluation of pre-processing approaches in online signature verification

The Usability of Derived Function Features in Online Signature Verification

SVC-onGoing: Signature verification competition

The Use of Confidence Indicating Prediction Score in Online Signature Verification

A comparison between k-nearest neighbor and jk-nearest neighbor algorithms for signature verification

Signature down-sampling for finger input online signature verification

Bence Kovari Information

University

Position

___

Citations(all)

373

Citations(since 2020)

141

Cited By

249

hIndex(all)

11

hIndex(since 2020)

7

i10Index(all)

13

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Bence Kovari Skills & Research Interests

biometrics

signature verification

image processing

Top articles of Bence Kovari

Exploring fair scheduling aspects–Through final exam scheduling

Pollack Periodica

2024/3/22

Comparison of a Deep Learning-based Axle Load Estimator and the Matrix Method in Strain Gauge-based Bridge Weigh-In-Motion Systems

2023/11/25

Bence Kovari
Bence Kovari

H-Index: 4

Systematic evaluation of pre-processing approaches in online signature verification

Intelligent Decision Technologies

2023

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

The Usability of Derived Function Features in Online Signature Verification

2022/11/26

Bence Kovari
Bence Kovari

H-Index: 4

The Use of Confidence Indicating Prediction Score in Online Signature Verification

Journal of Advances in Information Technology Vol

2022/6

A comparison between k-nearest neighbor and jk-nearest neighbor algorithms for signature verification

2022/3/16

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

Signature down-sampling for finger input online signature verification

2022

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

Online signature verification using signature down-sampling and signer-dependent sampling frequency

Neural Computing and Applications

2021/10/4

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

Performance Evaluation of the JK-nearest Neighbor Online Signature Verification Parameters

2021/2/18

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

K-nearest neighbour and dynamic time warping for online signature verification

arXiv preprint arXiv:2111.14438

2021/11/29

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

Examination of fairness in scheduling tasks with heterogeneous resources

2021/11/26

Optimized jk-nearest neighbor based online signature verification and evaluation of the main parameters

Computer Science

2021/11/23

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

Online signature verification based on signer dependent sampling frequency and dynamic time warping

2020/11/14

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

Survey of preprocessing techniques and classification approaches in online signature verification

2020/6/17

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

Preprocessing approaches in DTW based online signature verification

Pollack Periodica

2020/4

Mohammad Saleem
Mohammad Saleem

H-Index: 27

Bence Kovari
Bence Kovari

H-Index: 4

See List of Professors in Bence Kovari University(Budapesti Muszaki és Gazdaságtudományi Egyetem)

Co-Authors

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