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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Proceedings ArticleDOI
Offline Text-Independent Writer Identification Using Different Levels of Features
TL;DR: This paper combines two different levels of features: local directional chain-code feature (LDCF) and global improved texture feature (GITF) that are applied to different matching processes in handwriting identification.
Dissertation
Biometrics Writer Recognition for Arabic language: Analysis and Classification techniques using Subwords Features
TL;DR: A new innovative approach based on a seemingly plausible hypothesis that subwords based WI yields significant increase in accuracy over existing approaches is proposed, demonstrating that including diacritics within subwords impairs the WI.
Proceedings ArticleDOI
Assessing Textural Features for Writer Identification on Different Writing Styles and Forgeries
TL;DR: The experimental results corroborates the fact that the texture is an interesting alternative for writer identification and shows that the SVM classifier trained with LPQ was able to produce error rates 23 percentage points smaller than those reported in the literature for upper-case and free writing styles.
Journal ArticleDOI
Feature learning and encoding for multi-script writer identification
Proceedings ArticleDOI
Text-independent writer recognition using modified texture and microstructure features
Dongli Wang,Zhimin Huang,Yue Lu +2 more
TL;DR: This paper proposes effective techniques for automatic writer recognition that operate at different analysis levels, and presents a novel 2-D wavelet-based method to replace the traditional 1-D Gabor filter.
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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