Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/3608
Title: Morphological waveform coding for writer identification
Authors: Ζώης, Ηλίας Ν.
Αναστασόπουλος, Βασίλειος
Item type: Journal article
Keywords: Writer identification;Morphological features;Ταυτοποίηση συγγραφέα;Μορφολογικά χαρακτηριστικά
Subjects: Electrical engineering
Electronics
Ηλεκτρολογική μηχανική
Ηλεκτρονική
Issue Date: 9-Jan-2015
2000
Date of availability: 9-Jan-2015
Publisher: Elsevier Science Ltd
Abstract: Writer identification is carried out using handwritten text. The feature vector is derived by means of morphologically processing the horizontal profiles (projection functions) of the words. The projections are derived and processed in segments in order to increase the discrimination efficiency of the feature vector. Extensive study of the statistical properties of the feature space is provided. Both Bayesian classifiers and neural networks are employed to test the efficiency of the proposed feature. The achieved identification success using a long word exceeds 95%.
Language: English
Citation: Zois, E. and Anastassopoulos, V. (March 2000). Morphological waveform coding for writer identification. Pattern Recognition. 33(3). pp. 385-398. Elsevier Science Ltd. Available from: http://www.sciencedirect.com/ [Accessed 09/12/1999]
Journal: Pattern Recognition
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/3608
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