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Details van artikel 69 van 122 gevonden artikelen
| Titel: |
GURMUKHI TEXT EXTRACTION FROM IMAGE USING SUPPORT VECTOR MACHINE (SVM) |
| Auteur: |
SUKHWINDER KAUR GURPREET SINGH JOSAN |
| Verschenen in: |
International journal of engineering science and technology |
| Paginering: | Jaargang 3 (2011) nr. 4 pagina's 2977-2991 |
| Jaar: |
2011 |
| Inhoud: |
Extensive research has been done on image classification for different purposes like face recognition, identification of different objects and identification/extraction of text from image having some background. Text identification is an active research area where by system tries to identify the text area in a given image. Text area identified is then passed to OCR system for further recognition of the text. This work is about classifying image area in two classes text and non text using SVM (support vector machine). We identified the features and train a model based on the feature vector which is then used to classify text and non text area in an image. The system reports 70.5% accuracy for caption text images, 70.43% for document text images and 50.40% for scene text image. |
| Uitgever: |
Engg Journals Publication (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 69 van 122 gevonden artikelen
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