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Signature is a typical method in authenticating identities. It is commonly used in many official transactions as a symbol of approval and agreement between all parties involved in the specified transactions. Although many individuals can possess the same name in their birth certificates, their signature still differs from one person to another. Therefore, this study examined the degree with which...
Signature is a popular method of seeking approval and authentication between various parties in many transaction applications. Signature pattern recognition is done by processing a set of data that consists of (x, y) coordinates, representing online signature. Particle Swarm Optimisation technique is used to find and analyse the baseline feature that exists within the signature. Signatures were taken...
Signature zones' identification has been used in signature recognition and verification. The identification of an offline signature requires the whole image of the signature to be processed without considering other features in the signature. One of the signature features that are frequently used as the precondition for other subsequent algorithms in signature recognition and verification is the baseline...
Graphology has been considered to be useful in identifying a person's personality in some European countries. However, the International Graphonomic Society recommended that scientific evidence is also needed to associate the usage of graphology to identify these traits. The objective of this research is to identify the relationship between the meaning of selected graphology features and Cattell's...
This paper covers the area of signature recognition and fuzzy logic. It addresses the usage of fuzzy logic to be applied in signature slant recognition. Signature slant is vaguely identifiable and hard to determine for its slant form, in this study, the aim is to distinguish right slant, left slant and vertical slant. As fuzzy can deal with vague and ambiguous terms, it is applied to solve this problem...
A signature is the writerpsilas self representation. It contains many features; one of it is its baseline. The information contained in the baseline is known to be used as a precondition for subsequent handwriting or signature recognition algorithms and many researches regarding it has been done using off-line data. This research focuses on identifying the signature baseline by applying the concept...
Methods for fusing multiple handwritten word classifiers are compared on standard data. A novel method based on data-dependent densities in a Choquet fuzzy integral is shown to outperform neural networks, Borda and weighted Borda counts, and Sugeno fuzzy integral.
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