• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.9 no.4
• /
• pp.890-895
• /
• 2005

Dynamic (On-line) signature verification system consists of preprocessing, feature extraction, comparison and decision process for internal processing, and registration and verification windows for the user interface. We describe an implementation and design for an advanced dynamic signature verification system. Also, we suggest the method of feature extraction, matching algorithm, efficient user interface and an objective criteria for evaluating the performance.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.16 no.6
• /
• pp.665-670
• /
• 2006

This paper deals with a modified method of the dynamic time warping and feature points to extract various important information of the signature for the dynamic signature verification. We could achieve lower equal error rate, small and efficient feature points and fast processing time for the notification.

• The KIPS Transactions:PartB
• /
• v.10B no.4
• /
• pp.451-458
• /
• 2003

Dynamic Programming Matching (DPM) is a mathematical optimization technique for sequentially structured problems, which has, over the years, played a major role in providing primary algorithms in pattern recognition fields. Most practical applications of this method in signature verification have been based on the practical implementational version proposed by Sakoe and Chiba [9], and is usually applied as a case of slope constraint p = 0. We found, in this case, a modified version of DPM by applying a heuristic (forward seeking) implementation is more efficient, offering significantly reduced processing complexity as well as slightly improved verification performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• v.9 no.1
• /
• pp.462-466
• /
• 2005

Dynamic (On-line) signature verification system consists of preprocessing, feature extraction, comparison and decision process for internal processing, and registration and verification windows for the user interface. We describe an implementation and design for an advanced dynamic signature verification system. Also, we suggest the method of feature extraction, matching algorithm, efficient user interface and an objective criteria for evaluating the performance.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.8
• /
• pp.1693-1698
• /
• 2009

This paper is a research on the feature information using direction information and adjusting constant w for the dynamic signature verification. We could improved processing time and reduce signature database without the increase of error rate. We could confirmed these results by using statistical method T-test.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.05a
• /
• pp.865-867
• /
• 2009

This paper is a research on the statistical analysis of the feature information for the dynamic signature verification. we could improved processing time and reduce signature database without increase of error rate. We have used statistical analysis method T-test for the verification based on the experimental results.

• Journal of Intelligence and Information Systems
• /
• v.7 no.2
• /
• pp.143-151
• /
• 2001

This paper investigates the development of a neural network based system for automated signature authentication that relies on an autoregressive characterization for the segments of a signature. The primary contributions of this work are tow-fold: a) the development of the neural network architecture and the modalities of training it, b) adaptation of the dynamic time warping algorithm to fomulate a new method for enabling consistent segmentation of multiple signatures from the same writer. The performance of the signature verification system has been tested using a sizable database that includes a comprehensive set of simulated and realistic forgeries. False Acceptance and False Rejection error rates of 0.78% and 1.6% respectively were obtained in tests conducted using 1920 skilled forgeries.

• Journal of KIISE:Software and Applications
• /
• v.32 no.7
• /
• pp.663-673
• /
• 2005

An analysis model for the dynamics information of two-dimensional time-series patterns is described. In the proposed model, two novel transforms that visualize the dynamic characteristics are proposed. The first transform, referred to as speed equalization, reproduces a time-series pattern assuming a constant linear velocity to effectively model the temporal characteristics of the signing process. The second transform, referred to as velocity transform, maps the signal onto a horizontal vs. vertical velocity plane where the variation oi the velocities over time is represented as a visible shape. With the transforms, the dynamic characteristics in the original signing process are reflected in the shape of the transformed patterns. An analysis in the context of these shapes then naturally results in an effective analysis of the dynamic characteristics. The proposed transform technique is applied to an online signature verification problem for evaluation. Experimenting on a large signature database, the performance evaluated in EER(Equal Error Rate) was improved to 1.17$\%$ compared to 1.93$\%$ of the traditional signature verification algorithm in which no transformed patterns are utilized. In the case of skilled forgery experiments, the improvement was more outstanding; it was demonstrated that the parameter set extracted from the transformed patterns was more discriminative in rejecting forgeries

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2009.01a
• /
• pp.45-48
• /
• 2009

USN(Ubiquitous Sensor Network)은 우리가 관심이 있는 모든 사물에 통신기능이 있는 무선센서(전자태그)를 부착하고 이를 통해 사물 인식정보와 주변 환경정보(온도나 습도, 압력, 충격, 오염 등)를 탐지해 이를 실시간 네트워크를 통해 센싱 데이터들을 전송, 취합, 저장, 분석하여 사용자의 현재 상황에 정보(가정, 병원, 사무실, 유통, 군사, 교통 등)를 적절히 제공해 줄 수 있는 기술 및 첨단 지능형 서비스를 통칭한다. 향후 USN 서비스는 광범위한 영역에서 활용될 전망이며, 그에 따른 사용자 인증 보안의 중요성도 크게 부각될 것이다. 이를 위해 본 논문에서는 자필 서명을 이용한 보안기술의 USN 연동 방안을 제안하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.10a
• /
• pp.373-376
• /
• 2007

This paper presents dynamic (on-line) signature verification using direction and speed information as feature information. We describe a detail method of the adjusted constant(W) in the suggested DTW for the speed between adjacent two points.