Reporter: 資訊所 P78991121 Yung-Chih Cheng ( 鄭詠之 ).  Introduction  Data Collection  System Architecture  Feature Extraction  Recognition Methods  Results.

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Presentation transcript:

Reporter: 資訊所 P Yung-Chih Cheng ( 鄭詠之 )

 Introduction  Data Collection  System Architecture  Feature Extraction  Recognition Methods  Results and Discussion  Conclusion 2

 Character recognition is becoming more and more important in the modern world.  Handwritten recognition is not a new technology  Optical Character Recognition(OCR) › Automatic reading of optically sensor › Document text materials to translate human- readable character to machine readable codes 3

 Less work has been reported for the recognition of Indian Languages. › Complexity of the shape › Large set of different patterns  Propose a new elastic image matching technique based on an eigen-deformation › Offline isolated English uppercase handwritten characters › Offline isolated handwritten character of Devnagari 4

 ETL6 standard database is used › Japanese Characters › English Capital letters [A-Z] › Digits [0-9] ›.pgn file format › Image size: 64 x 63  Collect 500 data samples from different individuals of various professions for the experimetn. 5

 Devnagari is the most popular script in Indian and the most popular Indian language Hindi is written an Devnagari script › National language of India › The third most popular language in the world › 14 vowels and 33 consonants › Left to right  In this paper, considering 12 basic character 6

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 Preprocessing › Filtering › Morphological operation › Normalization  Segmentation  Horizontal Segmentation  Vertical Segmentation  Size Normalization 8

 Elastic Matching 9

 Properties of Elastic Matching(EM) › Anisotropic › Asymmetric  The distance between image T and R  R is deformed by F for optimal matching T and R › Symmetric  Sum of two asymmetric distances is simplest and gives result than individual asymmetric elastic matching tecnique 10

 With Eigen-deformations(PCA) › Training Phase › Recognition Phase 11

 Without Eigen-deformation 12

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 A elastic matching with PCA based system towards the recognition of off-line isolated uppercase English character and Devnagari handwritten character  Depend on the characteristics of the elastic matching emplyed to collect actual deformations 15

 The distribution of the actual deformation is not isotropic and therefore can be approcimated by several principal axes. 16