Ottoman alphabet character recognition by LDA

Zeyneb Kurt*, H. Irem Türkmen, M. Elif Karsligil

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In our study, an Ottoman Turkish language recognition system by LDA (Linear Discriminant Analysis) approach is improved. LDA reduces dimensionality of original data while expressing most important characteristic features. It aims maximizing "between classes differences" and minimizing "within class differences". In our system, the train set consisted of 33 classes that each class expresses each character of Ottoman Turkish language alphabet. The training set images were normalized by the following preprocessing steps, the contrast of the images was increased and images were aligned and resized. The charactestic features that used in recognition were calculated by LDA method using dimensional reduction applied images. The described processes were applied to the test set images and then the distance of test images to the classes were calculated by euclidian distance method.

Translated title of the contributionOttoman alphabet character recognition by LDA
Original languageTurkish
Title of host publication2007 IEEE 15th Signal Processing and Communications Applications, SIU
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)9781424407194
DOIs
Publication statusPublished - 11 Jun 2007
Externally publishedYes
Event2007 IEEE 15th Signal Processing and Communications Applications, SIU - Eskisehir, Turkey
Duration: 11 Jun 200713 Jun 2007

Publication series

Name2007 IEEE 15th Signal Processing and Communications Applications, SIU

Conference

Conference2007 IEEE 15th Signal Processing and Communications Applications, SIU
Country/TerritoryTurkey
CityEskisehir
Period11/06/0713/06/07

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