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Title page for etd-0830104-185208


URN etd-0830104-185208 Statistics This thesis had been viewed 3024 times. Download 2888 times.
Author Wei-Chih Pan
Author's Email Address e9006007@ttu.edu.tw
Department Computer Science and Enginerring
Year 2003 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 41
Title Application of the Region Growing Algorithm on Handwritten Numeral Recognition
Keyword
  • Region Growing
  • Handwritten Numeral Recognition
  • Handwritten Numeral Recognition
  • Region Growing
  • Abstract In the handwritten numeral recognition system, researchers use a lot of features to help the recognition process, such as end points, fork points, strokes, circles, etc. These features were extracted from the original image as the basis for the numeral recognition. In this thesis, we propose a handwritten numeral recognition algorithm that based on the Region Growing algorithm, which is often applied in the image retrieval researches. With proper modification, this algorithm can also be applied to the handwritten numeral recognition.
    The Region Growing algorithm can simplify the image information based on the attribute of pixels of the original. Adjacent pixels with similar gray scale can be combined into the same region. After this operation, there will be spatially separable regions. Then based on the spatial distribution of these regions, we can find the similarity between images. Finally, we can classify and recognize the image according to the region’s distribution and similarity.
    Furthermore, we proposed a modified “Drop Falling algorithm” to deal with the segmentation problem of the original image. This algorithm in conjunction with the histogram can make proper cut trace and get accurate recognition results
    The experimental results show our proposed algorithm can achieve the accuracy requirement of handwritten numeric recognition system.
    Advisor Committee
  • Tsang-Long Pao - advisor
  • Shang-Lin Hsieh - co-chair
  • Files indicate access worldwide
    Date of Defense 2004-07-26 Date of Submission 2004-08-30


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