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논문검색

Mongolian Traditional Stamp Recognition using Scalable kNN

초록

영어

The stamp is one of the crucial information of traditional historical and cultural for nations. In this paper, we purpose to detect official stamps from scanned document and recognize the Mongolian traditional, historical stamps. Therefore we performed following steps: first, we detect official stamps from scanned document based on red-color segmentation and document standard. Then we collected 234 traditional stamp images with 6 classes and 100 official stamp images from scanned document images. Also we implemented the processing algorithms for noise removing, resize and reshape etc. Finally, we proposed a new scale invariant classification algorithm based on KNN (k-nearest neighbor). In the experimental result, our proposed a method had shown proper recognition rate.

목차

Abstract
 1. INTRODUCTION
 2. RELATED WORKS
 3. PAPER TITLE AND AUTHOR INFORMATION
  3.1. Stamp detection based on Mongolian stamp standard for official documents
  3.2. Dimension Reduction
  3.3. Stamp classification
 4. EXPERIMENTAL RESULTS
  4.1. Database
  4.2. Stamp detection results
  4.3. Stamp classification results
 5. CONCLUSION
 REFERENCES

저자정보

  • Gantuya. P School of Engineering and Applied Sciences, National University of Mongolia
  • Mungunshagai. B Fine Arts Design and Technology School, Ikh Zasag International University
  • Suvdaa. B School of Engineering and Applied Sciences, National University of Mongolia

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