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Sindhi Optical Character Recognition

Sindhi Optical Character Recognition. سنڌي عڪسي اکرن جي سڃاڻپ. By: Mutee U Rahman Muhammad Rafi Waleed Butt. Total 15 main bodies are considered Due to complications diacritics are not considered Tesseract & Decision Tree training m odels generated and tested

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Sindhi Optical Character Recognition

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  1. Sindhi Optical Character Recognition سنڌي عڪسي اکرن جي سڃاڻپ By: Mutee U Rahman Muhammad Rafi Waleed Butt

  2. Total 15 main bodies are considered • Due to complications diacritics are not considered • Tesseract & Decision Tree training models generated and tested • Accuracy calculated by counting generated correct ids Summary of the Project

  3. 15 main bodies • 35 Tokens of Training Data • 10 Tokens of Testing Data Data Description Data Set-I

  4. 56 random MBs Data Set-II

  5. Tesseract Recognition Results on Data-Set I (Test Data)

  6. 100% Accuracy on random data file Tsseract Accuracy Results on Data-Set II Data-File

  7. Decision Tree Results

  8. Line Segment • Sample pages are given with different numbers of lines • All lines were extracted correctly -100% Preprocessing

  9. Line Segment • Pages with different number of lines given for segmenting line • All lines were extracted correctly -100% • 100% Preprocessing

  10. Syllable/Ligature Segmentation • From every page, we have successfully extracted syllable/ligature • Performance of syllable/ligature 80% Preprocessing

  11. Main Body (MB) • We have selected 15 MB from Sindhi Alphabets • We have not able to isolate diacritics, hence the MB are not correctly identifiable. Preprocessing

  12. Diacritics • We are not able to extract diacritics from the text. Preprocessing

  13. Tesseract accuracy is 94.4% and DT accuracy is 86.7% on Dataset-I • On Dataset-II accuracy for Tesseract is 100% • Line Extraction 100%, Syllable 80% Conclusion

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