An accurate handwritten digits recognition system based on DWT and FCT
Other Title(s)
نظام دقيق لتميز الأرقام المكتوبة بخط اليد مبنيه على أساس DWT و FCT
Joint Authors
Kazim, Mustafa Salam
Mhawi, Dua IntIshah
Zaki, Rana Muhammad H.
Source
Issue
Vol. 58, Issue 4B (31 Dec. 2017), pp.2200-2210, 11 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper an accurate Indian handwritten digits recognition system is proposed.
The system used three proposed method for extracting the most effecting features to represent the characteristic of each digit.
Discrete Wavelet Transform (DWT) at level one and Fast Cosine Transform (FCT) is used for features extraction from the thinned image.
Besides that, the system used a standard database which is ADBase database for evaluation.
The extracted features were classified with K-Nearest Neighbor (KNN) classifier based on cityblock distance function and the experimental results show that the proposed system achieved 98.2% recognition rate.
American Psychological Association (APA)
Kazim, Mustafa Salam& Zaki, Rana Muhammad H.& Mhawi, Dua IntIshah. 2017. An accurate handwritten digits recognition system based on DWT and FCT. Iraqi Journal of Science،Vol. 58, no. 4B, pp.2200-2210.
https://search.emarefa.net/detail/BIM-796569
Modern Language Association (MLA)
Kazim, Mustafa Salam…[et al.]. An accurate handwritten digits recognition system based on DWT and FCT. Iraqi Journal of Science Vol. 58, no. 4B (2017), pp.2200-2210.
https://search.emarefa.net/detail/BIM-796569
American Medical Association (AMA)
Kazim, Mustafa Salam& Zaki, Rana Muhammad H.& Mhawi, Dua IntIshah. An accurate handwritten digits recognition system based on DWT and FCT. Iraqi Journal of Science. 2017. Vol. 58, no. 4B, pp.2200-2210.
https://search.emarefa.net/detail/BIM-796569
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 2210
Record ID
BIM-796569