Text detection and recognition using multiple phase method on various product label for visual impaired people

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.