Arabic Language character recognition using Walsh-Hadamard transform (WHT) vs. discrete Fourier transform (DFT)
Joint Authors
Qimati, Imad al-Din
al-Bukhari, Anisah F.
Sulayman, Amani M.
Source
Journal of Humanitarian and Applied Sciences
Issue
Vol. 4, Issue 8 (31 Dec. 2019), pp.349-356, 8 p.
Publisher
Elmergib University Faculty of Art & Science / Kasr Khiar
Publication Date
2019-12-31
Country of Publication
Libya
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
One of the common used methods for text recognition (especially with Arabic text), is the usage of character Databases for driving the training and validation (for all the different methods that are used for preprocessing, segmentation and recognition).
There are no inclusive and dependable databases for all Arabic letters particularly when considering the four different shapes for each Arabic character (based on the character position inside the word).
In [1], the researchers presented a new Arabic Optical Character Recognition "AOCR" approach called "sliding window for printed AOCR" method (segmentationfree character recognition independent of a lexicon of words).
It works based on matching the content of the targeted text image/document with a small pre-prepared database to find the positions of the recognized characters in the scanned image.
The AOCR experiment is implemented using WHT/DCT and is applied using three different font types and nine different font sizes.
In this paper, we tested the same proposed "AOCR" method using a different implementation (WHT/DFT).
American Psychological Association (APA)
Qimati, Imad al-Din& al-Bukhari, Anisah F.& Sulayman, Amani M.. 2019. Arabic Language character recognition using Walsh-Hadamard transform (WHT) vs. discrete Fourier transform (DFT). Journal of Humanitarian and Applied Sciences،Vol. 4, no. 8, pp.349-356.
https://search.emarefa.net/detail/BIM-1225039
Modern Language Association (MLA)
Qimati, Imad al-Din…[et al.]. Arabic Language character recognition using Walsh-Hadamard transform (WHT) vs. discrete Fourier transform (DFT). Journal of Humanitarian and Applied Sciences Vol. 4, no. 8 (Dec. 2019), pp.349-356.
https://search.emarefa.net/detail/BIM-1225039
American Medical Association (AMA)
Qimati, Imad al-Din& al-Bukhari, Anisah F.& Sulayman, Amani M.. Arabic Language character recognition using Walsh-Hadamard transform (WHT) vs. discrete Fourier transform (DFT). Journal of Humanitarian and Applied Sciences. 2019. Vol. 4, no. 8, pp.349-356.
https://search.emarefa.net/detail/BIM-1225039
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-1225039