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Journal ArticleDOI

Signature verification using multiple neural classifiers

Reena Bajaj, +1 more
- 01 Jan 1997 - 
- Vol. 30, Iss: 1, pp 1-7
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TLDR
Experimental results show that combination of the classifiers increases reliability of the recognition results and is the unique feature of this work.
About
This article is published in Pattern Recognition.The article was published on 1997-01-01. It has received 186 citations till now. The article focuses on the topics: Random subspace method & Feature (machine learning).

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Citations
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Journal ArticleDOI

Online and off-line handwriting recognition: a comprehensive survey

TL;DR: The nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms are described.
Journal ArticleDOI

Image processing with neural networks–a review

TL;DR: The various applications of neural networks in image processing are categorised into a novel two-dimensional taxonomy for image processing algorithms and their specific conditions are discussed in detail.
Journal ArticleDOI

Automatic Signature Verification: The State of the Art

TL;DR: This paper presents the state of the art in automatic signature verification and addresses the most valuable results obtained so far and highlights the most profitable directions of research to date.
Book ChapterDOI

An on-line signature verification system based on fusion of local and global information

TL;DR: It is shown experimentally that the machine expert based on local information outperforms the system based on global analysis when enough training data is available and it is found that global analysis is more appropriate in the case of small training set size.
Journal ArticleDOI

Offline signature verification and identification using distance statistics

TL;DR: This paper describes a novel approach for signature verification and identification in an offline environment based on a quasi-multiresolution technique using GSC (Gradient, Structural and Concavity) features for feature extraction using a mapping from the handwriting domain to the signature domain.
References
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Book

Adaptive Signal Processing

TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.
Book

Digital Picture Processing

TL;DR: The rapid rate at which the field of digital picture processing has grown in the past five years had necessitated extensive revisions and the introduction of topics not found in the original edition.
Journal ArticleDOI

Automatic signature verification and writer identification — the state of the art

TL;DR: A survey of the literature on automatic signature verification and writer identification by computer, and an overview of achievements in static and dynamic approaches to solving these problems, with a special focus on preprocessing techniques, feature extraction methods, comparison processes and performance evaluation.
Journal ArticleDOI

Consensus theoretic classification methods

TL;DR: The results obtained using consensus theoretic methods are found to compare favorably with those obtained using well-known pattern recognition methods and provide a means for weighting data sources differently.
Journal ArticleDOI

Recognition of Arabic characters

TL;DR: The results indicate that the statistical approach for the recognition of Arabic characters offers better classification rates in comparison with existing methods.
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