A Window-Based Hybrid Signature Verification System.
ABSTRACT In this work we present a hybrid handwritten signature verification system where the on-line reference data acquired through
a digitizing tablet serves as the basis for the segmentation process of the corresponding scanned off-line data. Local windows
are determined over the image through a self-adjustable learning process and are used to focus the feature extraction step.
The positions of the windows are determined according to the complexity of the underlying strokes given by the observation
of a handwritten reproduction model. Local feature extraction is bounded by the windows formed and it is used with global
primitives to feed the classifier. The overall performance of the system is then measured.
SourceAvailable from: griffith.edu.au
Conference Paper: Techniques for static handwriting trajectory recovery: a survey.[Show abstract] [Hide abstract]
ABSTRACT: On-line handwriting recognition systems are usually better than their off-line counterparts thanks to the accessibility of dynamic information such as stroke order, velocity, acceleration, and pressure. Whilst the exact value of velocity as well as acceleration or pressure is unlikely to be recoverable, the temporal order of the strokes or the pen trajectory is shown to be more promising for recovery. The published experimental results suggest that the recovered pen trajectory information actually improves the off-line recognition accuracy. This paper presents an overview and discussion of pen trajectory recovery methods developed to date.The Ninth IAPR International Workshop on Document Analysis Systems, DAS 2010, June 9-11, 2010, Boston, Massachusetts, USA; 01/2010
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ABSTRACT: In recent years, along with the extraordinary diffusion of the Internet and a growing need for personal verification in many daily applications, automatic signature verification is being considered with renewed interest. This paper presents the state of the art in automatic signature verification. It addresses the most valuable results obtained so far and highlights the most profitable directions of research to date. It includes a comprehensive bibliography of more than 300 selected references as an aid for researchers working in the field.IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) 10/2008; DOI:10.1109/TSMCC.2008.923866 · 1.53 Impact Factor
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ABSTRACT: Bank cheques (checks) are still widely used all over the world for financial transactions. Huge volumes of handwritten bank cheques are processed manually every day in developing countries. In such a manual verification, user written information including date, signature, legal and courtesy amounts present on each cheque has to be visually verified. As many countries use cheque truncation systems (CTS) nowadays, much time, effort and money can be saved if this entire process of recognition, verification and data entry is done automatically using images of cheques. An attempt is made in this paper to present the state of the art in automatic processing of handwritten cheque images. It discusses the important results reported so far in preprocessing, extraction, recognition and verification of handwritten fields on bank cheques and highlights the positive directions of research till date. The paper has a comprehensive bibliography of many references as a support for researchers working in the field of automatic bank cheque processing. The paper also contains some information about the products available in the market for automatic cheque processing. To the best of our knowledge, there is no survey in the area of automatic cheque processing, and there is a need of such a survey to know the state of the art. KeywordsBank check processing–Courtesy amount recognition–Legal amount recognition–Date recognition–Signature verificationDocument Analysis and Recognition 12/2011; 15(4):1-30. DOI:10.1007/s10032-011-0170-8 · 0.86 Impact Factor