TY - GEN
T1 - Text detection and recognition using multiple phase method on various product label for visual impaired people
AU - Rizdania,
AU - Utaminingrum, Fitri
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - This paper reviews one of a noteworthy objective in research range of computer vision and digital image processing, which are text detection process and text recognition process. Text detection and text recognition are one of the popular research fields. The result of the study is useful for the visually impaired people, because it may help them in buying and choosing their preferred product in the market. This study applied Multiple Phase (MP) method for the text detection process and the text recognition process. The text detection was going through some phases which are the detection of Maximally Stable Extremal Regions (MSER), Canny edge detection, region filtering, and Optical Character Recognition (OCR). The OCR was used for text recognition process. The experimental result for our proposed method performance was 80.88%, which was better compared to the previous research which used the two-stage classifier that was only 69% of performance.
AB - This paper reviews one of a noteworthy objective in research range of computer vision and digital image processing, which are text detection process and text recognition process. Text detection and text recognition are one of the popular research fields. The result of the study is useful for the visually impaired people, because it may help them in buying and choosing their preferred product in the market. This study applied Multiple Phase (MP) method for the text detection process and the text recognition process. The text detection was going through some phases which are the detection of Maximally Stable Extremal Regions (MSER), Canny edge detection, region filtering, and Optical Character Recognition (OCR). The OCR was used for text recognition process. The experimental result for our proposed method performance was 80.88%, which was better compared to the previous research which used the two-stage classifier that was only 69% of performance.
KW - Multiple Phase (MP) method
KW - text detection
KW - text recognition
KW - visually impaired people
UR - https://www.scopus.com/pages/publications/85049360273
U2 - 10.1109/SIET.2017.8304171
DO - 10.1109/SIET.2017.8304171
M3 - Conference contribution
AN - SCOPUS:85049360273
T3 - Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
SP - 398
EP - 404
BT - Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
Y2 - 24 November 2017 through 25 November 2017
ER -