Toward Force-Based Signature Verification: A Pen-Type Sensor and Preliminary Validation

Wang, Dangxiao; Zhang, Yuru; Yan, Chong; Wu, Jun; Jiao, Huimin; Liu, Muli

doi:10.1109/tim.2009.2037871

Cited by 30 publications

(4 citation statements)

References 15 publications

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“…In addition, it was found that gender and weight could be predicted effectively, especially using signature velocity characteristics. Conversely, the relation between the handwritten signature, and more precisely the signature position on or below a dotted line, and other cognitive functions was further investigated in [261]. The findings of the study suggest that signature positioning may be a marker of vulnerability for the mechanisms involved in visuospatial abilities.…”

Section: Signatures For Medical Applicationsmentioning

confidence: 96%

“…For online signatures, in recent years, an increasing effort has been devoted to applying function features based on pressure and force. In [261], for example, specific devices were developed to capture these functions directly during the signing process. The directions of the pen movements and the pen inclinations have created a growing interest [117,200], as have the turning angle rep-resentations [19].…”

Section: Table 3 Performances (%) For Some Published Asv Systems In D...mentioning

confidence: 99%

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A Perspective Analysis of Handwritten Signature Technology

Diaz¹,

et al. 2019

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Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, having as its main reference the application of automatic signature verification, as previously published reviews in 1989, 2000, and 2008 bear witness. Ever since, and over the last 10 years, the application of handwritten signature technology has strongly evolved and much research has focused on the possibility of applying systems based on handwritten signature analysis and processing to a multitude of new fields. After several years of haphazard growth of this research area, it is time to assess its current developments for their applicability in order to draw a structured way forward. This perspective reports a systematic review of the last 10 years of the literature on handwritten signatures with respect to the new scenario, focusing on the most promising domains of research and trying to elicit possible future research directions in this subject. CCS Concepts: • General and reference → Surveys and overviews; • Security and privacy → Biometrics; Access control; • Theory of computation → Pattern matching; • Applied computing → Document analysis; System forensics;

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Section: Signatures For Medical Applicationsmentioning

confidence: 96%

Section: Table 3 Performances (%) For Some Published Asv Systems In D...mentioning

confidence: 99%

A Perspective Analysis of Handwritten Signature Technology

Diaz¹,

et al. 2019

View full text Add to dashboard Cite

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“…After the original points were filtered, the mean value of these points was employed as the new pressure value to simplify the original trajectory, and the data coupling on the five-dimensional channel was eliminated by the proposed decoupling algorithm. Wang et al [23] proposed a force sensing method that is based on the leverage effect to detect 3D forces between the pen's tip and the paper. A compact and low-cost pressure-sensing assembly was designed, which was integrated by five off-the-shelf one-dimensional (1-D) force sensors.…”

Section: ) Transform Stroke Force Into Specific Effectmentioning

confidence: 99%

A Lightweight Processing Method for Hand-Drawn Pressure-Sensitive Trajectories Oriented Toward Web-Based 3D Modeling

et al. 2021

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Digital geometry processing of hand-drawn pressure-sensitive trajectories oriented toward Web-based three-dimensional (3D) modeling becomes attractive problem. Existing practices usually focus on converting raw trajectories into 3D stroke meshes with consistent line width, which the pressure information can not been fully utilized for denoising, simplification and reflecting realistic graphics of 3D stroke mesh. Also, there are little research on the high quality of trajectory with data transmission fluency and light weight in the Web environment. We propose a lightweight processing method for hand-drawn pressure-sensitive trajectories that is oriented toward Web-based 3D modeling. An angle-chord height united trajectory simplification (ACUTS) algorithm is proposed, in which the discrete points are simplified by comprehensively considering the angle deviation and chord height deviation with the sliding window mechanism. In addition, a lightweight reconstruction algorithm based on pressure -sensitivity for discrete points (LRPDP) is also proposed, in which the pressure value can be fully utilized for simplifying the redundant points while ensuring the reconstructed 3D stroke mesh more realistic. Besides, the experimental results show that compared to some other methods, we perform best in terms of data reduction using compression ratio and reduction percentages. We also perform best in terms of high accuracy of 3D stroke mesh using mean stochastic error distance, local maximum error and total length error. Although the insufficient utilization of the pressure-sensitive information limits our research to some extents, the significance of our research is to provide a new strategy to realize Web-based 3D modeling using hand drawing mode.

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“…Wang et al [32] Reconstruction of trajectories using a sensorised pen that contains a triaxial accelerometer and two gyroscopes. 5…”

Section: Kamel Et Al [31]mentioning

confidence: 99%

Sensorised Low-Cost Pencils for Developing Countries: A Quantitative Analysis of Handwriting Learning Progress in Children with/without Disabilities from a Sustainable Perspective

et al. 2020

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Learning to write is a demanding endeavour that requires a combination of linguistic, motor and cognitive skills. Some children suffer from delay or inability to acquire those skills, which often hampers their performance at school and brings about serious consequences for self-esteem, personal expectations and social relationships. The situation worsens in developing countries, due to the lack of resources and specialised personnel. With this background, this paper describes an experiment with a newly-developed sensorised pencil with triangular prism shape, which is shown to yield substantial improvements in children with/without special education needs. A team of experts in the areas of speech therapy, occupational therapy, educational psychology, physiotherapy and pedagogy have expressed very positive opinions about the sensorised pencil and the accompanying software for the acquisition and analysis of quantitative data about handwriting. Furthermore, the device stands out for its low cost in comparison with similar developments, which is a key factor to aid children from low-income families. This fact is explained with a success story of manufacturing and delivering sensorised pencils in the Ecuadorian province of Azuay, framed in a multi-layer sustainable development perspective based on collaboration of several institutions and individuals.

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Toward Force-Based Signature Verification: A Pen-Type Sensor and Preliminary Validation

Cited by 30 publications

References 15 publications

A Perspective Analysis of Handwritten Signature Technology

A Perspective Analysis of Handwritten Signature Technology

A Lightweight Processing Method for Hand-Drawn Pressure-Sensitive Trajectories Oriented Toward Web-Based 3D Modeling

Sensorised Low-Cost Pencils for Developing Countries: A Quantitative Analysis of Handwriting Learning Progress in Children with/without Disabilities from a Sustainable Perspective

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