Cover Image

Chinese character recognition using support vector machine

Optical character recognition is the art of scanning and detecting the word in the images so that the machine can identify and classify the character. Chinese characters are one of the world's most widely used writing systems. It is used by more than one-quarter of the world’s population in dai...

Full description

Saved in:

Bibliographic Details
Main Authors:	Baharum, Aslina, Ismail, Rozita, A. Wahab, Shaliza Hayati, Deris, Farhana Diana, Mat Noor, Noorsidi Aizuddin, Mohd. Kasihmuddin, Mohd. Shareduwan
Format:	Article
Language:	English
Published:	Little Lion Scientific 2022
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/102580/1/FarhanaDianaDeris2022_ChineseCharacterRecognitionusingSupport.pdf http://eprints.utm.my/id/eprint/102580/ http://www.jatit.org/volumes/Vol100No17/2Vol100No17.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
by: Baharum A., et al.
Published: (2023)

Online handwriting recognition using support vector machine
by: Ahmad, Abdul Rahim, et al.
Published: (2004)

Support vector machine with dynamic shifting window for continuous speech recognition
by: Ahmad, Abdul Manan, et al.
Published: (2006)

Chinese character recognition using neural network / Low Poh Tian
by: Low, Poh Tian
Published: (2003)

A review on handwritten character and numeral recognition for Roman, Arabic, Chinese and Indian
by: Nasien, Dewi, et al.
Published: (2013)

One-class support vector machines for protein-protein interactions prediction
by: Alashwal, H., et al.
Published: (2006)

Detecting breast cancer using texture features and support vector machine
by: Abdalla, Al Mutaz, et al.
Published: (2008)

Remote protein homology detection and fold recognition using two-layer support vector machine classifiers
by: Muda, Hilmi M., et al.
Published: (2011)

A comparison of quadratic programming solvers in support vector machines training
by: Zaki, N. M., et al.
Published: (2003)

Email categorization using support vector machine
by: Mohd. Daud, Mariah
Published: (2004)

Isolated character recognition based on sub-character primitive features
by: Zafar, Muhammad Faisal, et al.
Published: (2008)

Fingerprint classification using Support Vector Machine
by: Alias, N. A., et al.
Published: (2016)

Signature verification system using support vector machine
by: Fauziyah, Salehuddin, et al.
Published: (2009)

Improve recognition-based segmentation for printed persian character recognition
by: Hatami, A., et al.
Published: (2009)

Comparison of domain and hydrophobicity features for the prediction of protein-protein interactions using support vector machines
by: Alashwal, Hany, et al.
Published: (2007)

Automated scanned receipt processing with optical character recognition and machine learning / Hor Zhang Neng
by: Hor, Zhang Neng
Published: (2022)

Jawi Character Recognition / Omar Abdul Rahim
by: Omar, Abdul Rahim
Published: (2002)

Stock market predicton using support vector machines
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

Fingertip detection using histogram of gradients and support vector machine
by: Sophian, Ali, et al.
Published: (2017)

Improved statistical features for cursive character recognition
by: Saba, Tanzila, et al.
Published: (2011)

A review of support vector machines with respect to spatial data
by: Kohram, Mojtaba, et al.
Published: (2007)

Prediction of protein residue contact using support vector machine
by: Chan, Weng Howe, et al.
Published: (2012)

Intelligent classification algorithms in enhancing the performance of support vector machine
by: Alwan, Hiba Basim, et al.
Published: (2019)

Image retrieval based on user feedback with support vector machine
by: Voon, Buang Hong
Published: (2016)

Recognition of brain cancer and cerebrospinal fluid due to the usage of different MRI image by utilizing support vector machine
by: Saeed, Soobia, et al.
Published: (2020)

Augmented Reality Application for Optical Character Recognition
by: Nandan, Kumar N, et al.
Published: (2024)

Chinese character recognition system using Convolutional Neural Network (CNN) / Nur Fatihah Hatini Mat Sam
by: Mat Sam, Nur Fatihah Hatini
Published: (2024)

Granular support vector machine to identify unknown structural classes of protein
by: Hassan, Rohayanti, et al.
Published: (2015)

Molecular database similarity searching using support vector machines (SVM)
by: Mohammadi, Narges
Published: (2009)

Road traffic crash severity classification using support vector machine
by: Mohamed Radzi, Nor Haizan, et al.
Published: (2017)

Predicting uniaxial compressive strength using Support Vector Machine algorithm
by: Zakaria, Hafedz, et al.
Published: (2019)

Utilization of filter feature selection with support vector machine for tumours classification
by: Tengku Mazlin, T. A. H., et al.
Published: (2020)

A brief conceptual view on classification using support vector machine
by: Mohd. Rosely, N. F. L., et al.
Published: (2019)

The effect of kernel functions on cryptocurrency prediction using support vector machines
by: Hitam, Nor Azizah, et al.
Published: (2021)

The effect of Kernel functions on cryptocurrency prediction using support vector machines
by: Hitam, Nor Azizah, et al.
Published: (2022)

The effect of kernel functions on cryptocurrency prediction using support vector machines
by: Hitam, Nor Azizah, et al.
Published: (2022)

The effect of kernel functions on cryptocurrency prediction using support vector machines
by: Hitam, Nor Azizah, et al.
Published: (2021)

The effect of kernel functions on cryptocurrency prediction using support vector machines
by: Ismail, Amelia Ritahani, et al.
Published: (2022)

Offline arabic character recognition using genetic approach
by: Aljuaid, Hanan Abdulrahman
Published: (2010)

Optical Character Recognition By Using Template Matching (Alphabet)
by: Nadira, Muda, et al.
Published: (2007)