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 Article
Global Regular Network for Writer Identification
TL;DR: The proposed global regular network (GRN) has two attributions: one is adding a branch to extract features contained in page; the other is using residual attention network to extract local feature.
Book ChapterDOI
Writer Identification Using Differential Chain Codes and Grid Features
Zhimin Huang,Dongli Wang,Yue Lu +2 more
TL;DR: An efficient method for writer identification in handwritten documents that operates at two stages: rough matching and fine matching is proposed.
Journal Article
Writer identification system for Ethiopic handwriting
Daniel Demoze,Eneyew Adugna +1 more
TL;DR: An off-line text independent Ethiopic writer identification system has been proposed that uses 50 handwritten text blocks collected from 25 volunteers and demonstrates that 93% correct identification, in a hit list of size 3, and 92%, in hit list 1, using codebook of connected component contours, are acquired.
Book ChapterDOI
Writer identification with hybrid edge directional features and nonlinear dimension reduction
Bailing Zhang,Yanchun Zhang +1 more
TL;DR: An effective method to perform writer identification is proposed by extracting edge directional features based on the recently proposed local shape descriptor Pyramid Histogram of Oriented Gradients (PHOG) and a curve fragment feature which can be termed as Histograms of Edge Direction (HED).
Journal Article
Multi-Modal Data Fusion for Person Authentication Based on Improved ENN
TL;DR: An improved ENN (Nearest-Neighbor with class Exemplars) method is proposed in this paper to fuse fingerprint and voiceprint, and compared with the traditional ENN and KNN (K-NearestNeighbor) , the proposed method obtains further improvement of verification rates.
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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