@article{ART002663724},
author={Myeong-Cheol Lee and Kanghee Lee},
title={Development of iOS English Vocabulary App Using Vision System},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2020},
volume={15},
number={6},
pages={1001-1013},
doi={10.34163/jkits.2020.15.6.009}
TY - JOUR
AU - Myeong-Cheol Lee
AU - Kanghee Lee
TI - Development of iOS English Vocabulary App Using Vision System
JO - Journal of Knowledge Information Technology and Systems
PY - 2020
VL - 15
IS - 6
PB - Korea Knowledge Information Technology Society
SP - 1001
EP - 1013
SN - 1975-7700
AB - Before smartphones, English learners used to organize words in their notebooks. As smartphones became more popular over time, more people started to study by storing words in word book apps than notebooks. Users will be able to study words anytime, anywhere via their smartphones. These word-field apps are a way for users to enter data themselves. However, this paper designed and implemented an app that automatically enters words using vision system and letter recognition. The app recognizes areas painted with highlighter first, then recognizes words within the highlighter area and organizes them into tables. It also helps to understand how certain words are used in contexts in certain English bodies with simple actions. Because the data of words can have multiple words in a particular body, the database schema was designed in a one-to-many relationship between the images taken with the camera and the words contained in that body. The differentiated advantages of this app are as follows: First, it increases the time efficiency of studying. Second, it improves learners' vocabulary by learning based on context. These advantages are described in detail in this paper through practical research materials and techniques. The app's platform used Apple Inc.'s iOS. Character recognition, a key technology in the app, utilizes OpenCV's library and Apple Inc.'s CoreML.
KW - Vocabulary app;iOS smartphones;Vision;OpenCV;Text recognition
DO - 10.34163/jkits.2020.15.6.009
ER -
Myeong-Cheol Lee and Kanghee Lee. (2020). Development of iOS English Vocabulary App Using Vision System. Journal of Knowledge Information Technology and Systems, 15(6), 1001-1013.
Myeong-Cheol Lee and Kanghee Lee. 2020, "Development of iOS English Vocabulary App Using Vision System", Journal of Knowledge Information Technology and Systems, vol.15, no.6 pp.1001-1013. Available from: doi:10.34163/jkits.2020.15.6.009
Myeong-Cheol Lee, Kanghee Lee "Development of iOS English Vocabulary App Using Vision System" Journal of Knowledge Information Technology and Systems 15.6 pp.1001-1013 (2020) : 1001.
Myeong-Cheol Lee, Kanghee Lee. Development of iOS English Vocabulary App Using Vision System. 2020; 15(6), 1001-1013. Available from: doi:10.34163/jkits.2020.15.6.009
Myeong-Cheol Lee and Kanghee Lee. "Development of iOS English Vocabulary App Using Vision System" Journal of Knowledge Information Technology and Systems 15, no.6 (2020) : 1001-1013.doi: 10.34163/jkits.2020.15.6.009
Myeong-Cheol Lee; Kanghee Lee. Development of iOS English Vocabulary App Using Vision System. Journal of Knowledge Information Technology and Systems, 15(6), 1001-1013. doi: 10.34163/jkits.2020.15.6.009
Myeong-Cheol Lee; Kanghee Lee. Development of iOS English Vocabulary App Using Vision System. Journal of Knowledge Information Technology and Systems. 2020; 15(6) 1001-1013. doi: 10.34163/jkits.2020.15.6.009
Myeong-Cheol Lee, Kanghee Lee. Development of iOS English Vocabulary App Using Vision System. 2020; 15(6), 1001-1013. Available from: doi:10.34163/jkits.2020.15.6.009
Myeong-Cheol Lee and Kanghee Lee. "Development of iOS English Vocabulary App Using Vision System" Journal of Knowledge Information Technology and Systems 15, no.6 (2020) : 1001-1013.doi: 10.34163/jkits.2020.15.6.009
