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
Fragmented edge structure coding for Chinese writer identification
TL;DR: A theoretically very simple, yet efficient, multiresolution approach to off-line, text-independent Chinese writer identification based on edge structure code (ESC) distribution feature and nonparametric discrimination of sample is presented.
Journal ArticleDOI
Developing and Evaluating a Mixed Sensor Smart Chair System for Real-Time Posture Classification: Combining Pressure and Distance Sensors
Hae-Seok Jeong,Woojin Park +1 more
TL;DR: The mixed sensor system is low-cost utilizing only a small number of sensors; yet, it accomplishes accurate classification of postures relevant to the ergonomic analyses of seated work tasks and yielded significantly superior classification performance than the two benchmark systems.
Journal ArticleDOI
Biometric recognition via texture features of eye movement trajectories in a visual searching task.
TL;DR: A new visual searching task for eye movement data collection and a new class of eye movement features for biometric recognition are proposed and shown to offer some advantages with regard to long-term stability and robustness over time and spatial precision.
Proceedings Article
Automatic Text Detection In Video Frames Based on Bootstrap Artificial Neural Network And CED
TL;DR: One novel approach for text detection in video frames, which is based on bootstrap artificial neural network (BANN) and CED operator, is proposed, which first uses a new color image edge operator (CED) to segment the image and achieve the elementary candidate text block.
Proceedings ArticleDOI
Offline text-independent writer identification using stroke fragment and contour based features
Youbao Tang,Xiangqian Wu,Bu Wei +2 more
TL;DR: The experimental results show that the proposed approach can get the best performance compared with the state-of-the-art text-independent writer identification algorithms in all of these datasets.
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.
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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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