Personal identification based on handwriting
Reads0
Chats0
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
More filters
Journal ArticleDOI
Chinese Handwriting Identification Based on Stable Spectral Feature of Texture Images
TL;DR: An estimation method for mathematical expectation value of texture image’s spectral features gets stable spectral features and enhances the identification accuracy to a large extent using data sets with large handwriting samples.
Proceedings ArticleDOI
Arabic Writer Identification System Using the Histogram of Oriented Gradients (HOG) of Handwritten Fragments
TL;DR: An enhanced approach for writer identification from offline Arabic handwriting samples in text-independent mode is presented where the handwriting is divided into small fragments and each fragment is represented by the histogram of oriented gradients (HOG).
Robust and applicable handwriting biometrics
TL;DR: In this article, a system for vergelijkbaar handschrift vergeschreven dreigbriefs is presented, in which a systeem voor schrijververificatie is used to verify the vergelijken of two documents.
Proceedings ArticleDOI
A bag of notes approach to writer identification in old handwritten musical scores
TL;DR: This paper presents a robust approach for writer identification in a particular kind of graphical documents, old music scores, that adapts the bag of visual terms method for coping with graphic documents.
Journal Article
Handwriting Recognition Accuracy Improvement by Author Identification
TL;DR: In this paper, a two level handwriting recognition concept is presented, where writer identification is used in order to increase handwriting recognition accuracy, and author identification is performed on the upper level, while the lower level consists of a classifiers set trained on samples coming from individual writers.
References
More filters
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.
Related Papers (5)
Text-Independent Writer Identification and Verification Using Textural and Allographic Features
M. Bulacu,Lambert Schomaker +1 more
Automatic writer identification using connected-component contours and edge-based features of uppercase Western script
Lambert Schomaker,M. Bulacu +1 more