Recognition of Cursive Roman Handwriting - Past, Present and Future
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Information Retrieval Based Writer Identification
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Neural Networks for Document Analysis and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Clustering Methods for Writer Identification and Verification
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A writer identification and verification system
Pattern Recognition Letters
Pattern Recognition Letters
Text-Independent Writer Identification and Verification Using Textural and Allographic Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
A writer identification system for on-line whiteboard data
Pattern Recognition
A set of novel features for writer identification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Writer identification using a hybrid method combining Gabor wavelet and mesh fractal dimension
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Writer identification using fractal dimension of wavelet subbands in gabor domain
Integrated Computer-Aided Engineering
Processing handwritten words by intelligent use of OCR results
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Writer identification by handwritten text analysis
ICOSSE'06 Proceedings of the 5th WSEAS international conference on System science and simulation in engineering
On-line writer verification using force features of basic strokes
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Text-dependent writer identification for Arabic handwriting
Journal of Electrical and Computer Engineering
Online text-independent writer identification based on stroke's probability distribution function
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
A set of geometrical features for writer identification
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Texture-based descriptors for writer identification and verification
Expert Systems with Applications: An International Journal
A novel sparse model based forensic writer identification
Pattern Recognition Letters
A Persian writer identification method using swarm-based feature selection approach
International Journal of Biometrics
Identifying the writer of ancient inscriptions and Byzantine codices. A novel approach
Computer Vision and Image Understanding
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Abstract: In this paper we present a system for writer identification. From handwritten lines of text, twelve features are extracted which are used to recognize persons, based on their hand-writing. The features extracted mainly correspond to visible characteristics of the writing, for example, the width, the slant and the height of the three main writing zones. Additionally, features based on the fractal behavior of the writing, which are correlated with the writing's legibility, are used. With these features two classifiers are applied: a k-nearest neighbor and a feed forward neural network classifier. In the experiments, 100 pages of text written by 20 different writers are used. By classifying individual text lines, an average recognition rate of 87.8% for the k-nearest neighbor and 90.7% for the neural network is measured. By a simple maximum ranking over all lines of a page, all texts are correctly assigned to the corresponding writers. Compared to these results, an average recognition rate of 98% was measured when humans assigned persons to the text lines.