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Khmer Optical Character Recognition Using Zernike Moment

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Chuor, Porchourng [Institute of Technology of Cambodia] Verleysen, Michel [UCL] Valy, Dona [Institute of Technology of Cambodia]

In this paper, we focus on an Optical Character Recognition (OCR) system for printed text documents in Khmer language by using Zernike Moment. The Zernike Moment method is used as a feature extraction method to solve the recognition problem. We compute the moments from sub-characters to extract their feature vectors. The final recognition result is achieved by employing a classifier based on the Nearest Neighbor method. The method is experimented on 5 documents with font size of 12, 15, and 36 respectively.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Access type Accès restreint
Publication date 2015
Language Anglais
Conference "2015 Khmer Natural Language Processing annual conference (KNLP 2015)", Phnom Penh (Cambodia) (du 04/12/2015 au 04/12/2015)
Peer reviewed yes
Host document - 1-6
Publication status Publié
Affiliation UCL - SST/ICTM/ELEN - Pôle en ingénierie électrique
Keywords Zernike moment ; Khmer optical character recognition
Links
Bibliographic reference Chuor, Porchourng ; Verleysen, Michel ; Valy, Dona. Khmer Optical Character Recognition Using Zernike Moment.2015 Khmer Natural Language Processing annual conference (KNLP 2015) (Phnom Penh (Cambodia), du 04/12/2015 au 04/12/2015).
Permanent URL http://hdl.handle.net/2078.1/171348