Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/3657
Title: Decision fusion for writer discrimination
Authors: Ζώης, Ηλίας Ν.
Αναστασόπουλος, Βασίλειος
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Discrimination system;Fusion, Latent heat of;Σύστημα διακρίσεων;Συγχώνευση
Subjects: Electrical engineering
Electronics
Ηλεκτρολογική μηχανική
Ηλεκτρονική
Issue Date: 9-Jan-2015
1997
Publisher: [χ.ό.]
Abstract: In this work the performance improvement of a one-word-based writer discrimination system is described. This is achieved when decision fusion is employed to combine the classification results (decisions) from N words. Only the binary classification problem (discriminate between two persons) is examined. In the proposed approach the randomized Neyman Pearson (N-P) test is applied. A special case of feature statistics is considered in order to fit the randomized N-P test and simultaneously achieve minimum classification error for each separate decision. Using only a few words the performance of the discrimination system is radically improved as far as the maximum classification error is concerned.
Description: Proceedings
Language: English
Citation: Zois, E. and Anastassopoulos, V. (1997). Decision fusion for writer discrimination. In the 13th International Conference on DigitalSignal Processing. vol. 2. Santorini, 2nd-4th July 1997. pp. 687 - 690.
Conference: International Conference on DigitalSignal Processing
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/3657
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