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Information retrieval based writer identification
Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2005This communication deals with the Writer Identificationtask. Our previous work has shown the interest of usingthe graphemes as features for describing the individualproperties of Handwriting. We propose here to exploit thesame feature set but using an information retrievalparadigm to describe and compare the handwritten queryto each sample of ...
Ameur Bensefia +2 more
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Feature relevance analysis for writer identification
SPIE Proceedings, 2011This work presents an analytical study on the relevance of features in an existing framework for writer identification from offline handwritten document images. The identification system comprises a set of 15 features combining the orientation and curvature information in a writing with the well-known codebook based approach.
Imran Siddiqi +2 more
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The Impact of Ruling Lines on Writer Identification
2010 12th International Conference on Frontiers in Handwriting Recognition, 2010Paper often includes pre-printed ruling lines to help people write more neatly. This particular example of real- world noise can have a serious impact on applications such as handwriting recognition and writer identification, however. In this work, we investigate the effects of ruling lines on writer ID.
Jin Chen 0005 +2 more
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Mining generalized features for writer identification
2009 2nd Conference on Data Mining and Optimization, 2009This paper proposes generalized features of various handwriting in forensic documents for writer identification. In forensic documents, graphologies need to scrutinize, analyze and evaluate the features of suspected authors from questioned handwriting and compared these documents with the original handwriting. This is due to the uniqueness of the shape
Azah Kamilah Muda +2 more
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A Set of Novel Features for Writer Identification
2003A system for writer identification is described in this paper. It first segments a given page of handwritten text into individual lines and then extracts a set of features from each line. These features are subsequently used in a k-nearest-neighbor classifier that compares the feature vector extracted from a given input text to a number of prototype ...
Caroline Hertel, Horst Bunke
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Disguising writer identification: an experimental study
2009The paper reports an experimental study aimed at evaluating the potential of pattern recognition techniques when establishing the authorship of documents in case of disguising writers. The experimental work has been motivated by a conjecture about the role played by different cognitive processes involved in the production of handwriting, either genuine
DE STEFANO, Claudio +2 more
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Handwriting Analysis with Focus on Writer Identification and Writer Retrieval.
2019In the course of the mass digitization of historical as well as contemporary sources, an individual examination by means of historical or forensic experts is no longer feasible. A solution could be an automatic handwriting analysis that determines or suggests script attributes, such as the writer or the date of a document.
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Letter-Level Online Writer Identification
International Journal of Computer Vision, 2021Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu
exaly