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Techniques for Nom character processing and recognition in A ndroid environment

This study explores techniques for processing and recognizing Nom characters in an Android environment, covering image preprocessing, recognition processing using multilayer perceptron, semantic processing with a dictionary, and translation processing. The thesis presents solutions for image preprocessing and recognition processing using a neutron network. It highlights the efficiency, speed, and accuracy of the neutron network for hieroglyphics character recognition, along with details on the multi-layer perceptron training process.

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Techniques for Nom character processing and recognition in A ndroid environment

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  1. Techniques for Nom character processing and recognition in Android environment Student: PhạmNgọcThành Major field: Computer science Supervise: Ph.D. NguyễnNgọcBình Hanoi - 2011

  2. Introduction • Digital

  3. Introduction

  4. Introduction

  5. Introduction • Problem

  6. Solution Outline: • Image Preprocessing • Classification input quality • Remove background • De-skew • Remove noise • Word separate • Word extraction information • Recognition Processing • Using multilayer perceptron • Semantic Processing • Using dictionary • Translate Processing

  7. Solution • Image Preprocessing

  8. Solution

  9. Solution II. Recognition processing • Used neutron network for recognition task • It is fast • It is light • Easy to change the speed, accurate of neutron network • Good result for hieroglyphics character • Multi layer Perceptron • Trainning Process • Input layer: 24x24 input signal • Output layer: 16 binary bits output • Hidden layer: is customize for good result • Weight array

  10. Solution III. Semantic Processing • A • B • C IV. Translate Processing • A • B • C

  11. Graduation Thesis Layout

  12. Graduation Thesis Layout

  13. Graduation Thesis Layout

  14. Graduation Thesis Process

  15. Graduation Thesis Schedule

  16. Question and Answer

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