OCR-Based Safety Check System of Packaged Food for Food Inconvenience Patients

목차 (Table of Contents)

• 요약
• Abstract
• I. Introduction
• II. System Design
• III. Implementation
• IV. Conclusion
• References

참고문헌 (Reference)

1 A. Santos, "Why the world is becoming more allergic to food" King’s College London

2 Techopedia, "Tokenization"

3 "Python bindings for the Enchant spellchecking system"

4 Names of Packaged Food Ingredients, Additives & Colors, "Overview of Food Ingredients, Additives & Colors"

5 Team NLTK, "NLTK tokenize package"

6 L. Michelbacher, "Multi-Word Tokenization for Natural Language Processing" University of Stuttgart 2013

7 D. Bloomberg, "Leptonica"

8 Z. Schollz, "Food Ingredients, Food Identicon"

9 A. Schaefer, "Food Allergy vs. Sensitivity: What’s the Difference?"

10 G. Avani, "Food Allergy Scanner, Android Mobile App"

11 M.P. Oria, "Finding a Path to Safety in Food Allergy" National Academies of Sciences, Engineering and Medicine 2016

12 S. Prajapati, "Eatable : An Application That Helps People with Food Allergies Check and Locate Allergen-Free Food Products" Harvard University 2017

13 Infochimps, "Dataset English-Words List"

14 Infochimps, "Dataset English-Words List"

15 Wikipedia, "Comparison of OCR Software"

16 Wikipedia, "Comparison of OCR Software"