A5088067125- Handwritten Text Recognition Techniques
- Natural Language Processing Techniques
- Topic Modeling
- Image Retrieval and Classification Techniques
- Advanced Text Analysis Techniques
- Image Processing and 3D Reconstruction
- Text and Document Classification Technologies
- Digital and Cyber Forensics
- Web Data Mining and Analysis
- Data Quality and Management
Budapest University of Technology and Economics
2019-2024
Online signature verification is a currently evolving field. Numerous approaches are proposed each year that claimed to be capable of delivering improved results in some aspects over others. These systems usually based on the experiences author(s), and often limited single databases. factors make it difficult compare or even reproduce results. The lack negative evaluation design choices creation new, online difficult. In this work, we addressed problem by conducting systematic most common...
Handwritten signatures are one of the most commonly used biometrics. Because widely accepted, their verification is a fundamental problem. The aim signature to decide about origin so ability detect forgeries. Until offline based on scanned image signatures, online applies different electronic devices capture signatures. Online also contain dynamic information such as pressure or inclination angle pen, it much more challenging forge than ones. In addition, possible define and calculate...
Nowadays, when even more classical processes are getting digitalized, there is a natural demand for automatic signature verification.The main goal to decide whether an unknown genuine, as accurately possible.This paper deals with online which uses signatures captured by special electronic devices.The of this reveal the effects and influence choice features used during classification.This defines different classifier approaches some derived features.Our reached 19.125% average error rate...
This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of art in open common platform using large-scale public databases, such as DeepSignDB and SVC2021_EvalDB, standard experimental protocols. SVC-onGoing is based on ICDAR 2021 Competition On-Line Signature Verification (SVC 2021), which has been extended to allow participants anytime. The goal evaluate limits popular scenarios...
This paper describes the experimental framework and results of ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal SVC is to evaluate limits on-line signature verification systems popular scenarios (office/mobile) writing inputs (stylus/finger) through large-scale public databases. Three different tasks are considered in competition, simulating realistic as both random skilled forgeries simultaneously each task. obtained prove high potential deep learning methods....