UCSY's Research Repository

Browsing by Subject "segmentation"

Browsing by Subject "segmentation"

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  • Automatic Image Labeling System for Outdoor Scene 
    Yu, May Thae; Sein, Myint Myint (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Automatic image annotation is important to both video and image retrieval and computer object recognition. To ensure easy sharing of an effective searching over a huge and fast growing number of online images, real-time ...
  • Finger Vein Recognition based on Histogram of Oriented Gradients (HOG) 
    Htwe, Khin Sabai; Aye, Nyein (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    In this paper, a Region of Interest (ROI) extraction method is proposed based on labeling vein images using morphological processing. Firstly, finger vein images are segmented to remove the unwanted background or the ...
  • Joint Word Segmentation and Stemming for Myanmar Language Based on Conditional Random Fields 
    Oo, Yadanar; Soe, Khin Mar (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    In this paper, we describe a joint work on word segmentation and stemming of Myanmar sentences with syllabled-based tagging under Conditional Random Fields(CRF) framework. A manuallysegmented corpus was developed to ...
  • Myanmar Word Stemming and Part-of-Speech Tagging using Rule Based Approach 
    Minn, Kyaw Htet; Soe, Khin Mar (National Journal of Parallel and Soft Computing, 2019-03)
    Myanmar language is spoken by more than 33 million people and use itas an official language of the Republic of the Union of Myanmar in bothverbal and written communication. With the rapid growth of digital content in ...
  • A Robust Local Thresholding Method for Segmentation of Non-Uniform Coloured Documents 
    Aung, Thidar; Thein, Thin Lai Lai (National Journal of Parallel and Soft Computing, 2019-03)
    Text document segmentation is one of the essential steps text document recognition and extraction systems. The existing segmenting methods are not much reliable for text with colour gradient and texture background. ...

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