Personal identification based on handwriting
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TLDR
This paper attempts to eliminate the assumption that the written text is fixed by presenting a novel algorithm for automatic text-independent writer identification by taking a global approach based on texture analysis, where each writer's handwriting is regarded as a different texture.About:
This article is published in Pattern Recognition.The article was published on 2000-01-01 and is currently open access. It has received 341 citations till now. The article focuses on the topics: Handwriting & Intelligent character recognition.read more
Citations
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Journal ArticleDOI
Historical manuscript dating based on temporal pattern codebook
TL;DR: This paper proposes a framework for image-based historical manuscript dating based on handwritten pattern analysis in scanned historical manuscript images and uses a singular structural feature to extract the mid-level handwritten patterns in historical document images and then encodes the discovered handwritten patterns based on a codebook which contains the temporal information.
Journal ArticleDOI
Quantification of the shape of handwritten characters: a step to objective discrimination between writers based on the study of the capital character O.
TL;DR: Because of relatively reduced within-writer variability and a pronounced differentiation between the writers, a morphological profile could be established and discrimination between writers could be obtained through the quantification of the shape of one handwritten character.
Journal ArticleDOI
Handwriting evidence evaluation based on the shape of characters: application of multivariate likelihood ratios.
TL;DR: This original Bayesian methodology provides a coherent and rigorous tool for the assessment of handwriting evidence, contributing undoubtedly to integrate the field of handwriting examination into science.
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The use of the likelihood ratio for evaluative and investigative purposes in comparative forensic handwriting examination
TL;DR: The inference of gender of the writer of an incriminated handwritten text is forwarded, analysed and discussed in this paper and the more general viewpoint according to which likelihood ratio analyses can be helpful for investigative proceedings is supported.
Proceedings ArticleDOI
Graphological Analysis of Handwritten Text Documents for Human Resources Recruitment
TL;DR: This paper presents a model that links features from handwritten images to a number of personality characteristics used to measure applicant aptitudes for the job in a particular hiring scenario using a model of measuring active personality and leadership of the writer.
References
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Journal ArticleDOI
Statistical and structural approaches to texture
TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.
Journal ArticleDOI
Automatic signature verification and writer identification — the state of the art
Réjean Plamondon,Guy Lorette +1 more
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
A review of recent texture segmentation and feature extraction techniques
Todd R. Reed,J. M. Hans du Buf +1 more
TL;DR: The area of texture segmentation has undergone tremendous growth in recent years as discussed by the authors, and there has been a great deal of activity both in the refinement of previously known approaches and in the development of completely new techniques.
Journal ArticleDOI
Text segmentation using Gabor filters for automatic document processing
TL;DR: In this paper, two-dimensional Gabor filters are used to extract texture features for each text region in a given document image, and the text in the document is considered as a textured region.
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