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Browsing International Conference on Computer Applications (ICCA) by Author "Thein, Yadana"

Browsing International Conference on Computer Applications (ICCA) by Author "Thein, Yadana"

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  • Blind Image Watermarking Using LWT and DCT 
    Tun, Amy; Thein, Yadana (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    As a potential key to defend illegal copying of digital multimedia objects, digital watermarking technology is now attracting significant awareness. With the help of a combined Lifting Wavelet Transform (LWT) and Discrete ...
  • Digital Image Watermarking Framework Using LWT and DCT 
    Tun, Amy; Thein, Yadana (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    As a protection against unauthorized copying of digital multimedia objects, digital watermarking technology is now attracting substantial attention. In this paper, an image watermarking algorithm is presented by ...
  • Digital Image Watermarking Scheme based on LWT Domain 
    Tun, Amy; Thein, Yadana (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Digital watermarking technology is now attracting considerable attention as one of the potential solutions for protecting copyrights of digital images. In this paper, digital color image watermarking scheme based on ...
  • Grammatical-based Word Segmentation Algorithm for Building Language Model in Myanmar ASR 
    Soe, Wunna; Thein, Yadana (Fourteenth International Conference On Computer Applications (ICCA 2016), 2016-02-25)
    In this paper a grammatical-based word segmentation algorithm is presented. As the nature of Myanmar language, word segmentation process is necessary for machine translation, speech recognition, speech synthesis, etc. ...
  • Handwritten Character Recognition based on Competitive Neural Trees 
    Htike, Theingi; Thein, Yadana (Tenth International Conference On Computer Applications (ICCA 2012), 2012-02-28)
    Competitive Neural Trees (CNeT) are widely used for classification in pattern recognition. This paper applies this technique for recognizing of Myanmar handwritten characters. This paper involves three important steps, ...
  • Handwritten Character Recognition using Morphological Operators with Competitive Neural Trees 
    Htike, Theingi; Thein, Yadana (Ninth International Conference On Computer Applications (ICCA 2011), 2011-05-05)
    In this paper an attempt is made to develop Myanmar handwritten character recognition system. Character recognition is an important area in image processing and pattern recognition fields. The aim of character recognition ...
  • Image Encrypyion with Edge Detection 
    Wint, May Thu; Thein, Yadana (Thirteenth International Conference On Computer Applications (ICCA 2015), 2015-02-05)
    Steganography is the technique of hiding the communication data by hiding data in another different format of data.Even though many different carrier file formats can be used, digital images are the most commonly used ...
  • A LWT and DCT based Blind Watermarking Scheme for Digital Images 
    Tun, Amy; Thein, Yadana (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    As a potential solution to defend unauthorized replication of digital multimedia objects, digital watermarking technology is now attracting significant attention. With a combination of Lifting Wavelet Transform (LWT) ...
  • Off-line Myanmar Character Recognition based on Competitive Neural Trees 
    Htike, Theingi; Thein, Yadana (Twelfth International Conference On Computer Applications (ICCA 2014), 2014-02-17)
    Neural network classifier methods and decision trees are widely used in various pattern recognition research areas. Among them, printed character recognition still faces some issues in all languages. Myanmar sentences ...
  • Printed Character Recognition based on Shape Descriptors with Competitive Neural Trees 
    Thein, Yadana; Htike, Theingi (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Competitive Neural Trees (CNeT) are widely used for classification in pattern recognition. This paper applies this technique for recognizing of Myanmar printed character s . This paper involves three important ...
  • Web Search Engine for Myanmar Language 
    Thein, Yadana; Khine, Su Mon (Thirteenth International Conferences on Computer Applications(ICCA 2015), 2015-02-05)
    Web search engines play an important role for information retrieval on World Wide Web. There are many search engines according to their languages, but very few research areas for Myanmar Language. Search engine that ...

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