International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
PRODUCT RECOGNITION USING LABEL AND BARCODES Rakshandaa.K1, Ragaveni.S2, Sudha Lakshmi.S3 1Student,
Department of ECE, Prince Shri Venkateshwara Padmavathy Engineering College, Tamil Nadu, India Department of ECE, Prince Shri Venkateshwara Padmavathy Engineering College, Tamil Nadu, India 3Assistant Professor, Department of ECE, Prince Shri Venkateshwara Padmavathy Engineering College, Tamil Nadu, India
2Student,
---------------------------------------------------------------------***--------------------------------------------------------------------products they buy and use in their day to day life. The focus Abstract - The process deals with product recognition revolves around designing a portable camera based assistive for the blind, using label text as well as barcode of the text and product label reading along with barcode same. The implementation is done using MATLAB. First, recognition from hand held objects for blind person. In the the Maximally Stable Extremal Region (MSER) algorithm currently available systems, portable bar code readers are is used to identify the Region of Interest (ROI) from the designed to help blind people to identify different products given input image, which would consist of the product in an extensive product database, which helps the blind label part. Using the background subtraction technique, users to access information about these products through the foreground is alone extracted and the remaining speech. This system has a limitation that it is very hard for parts are neglected. After extracting the foreground, the blind users to find the position of the bar code and to correctly point the bar code reader at the bar code. Some canny edge detection algorithm is used to find the reading assistive systems such as pen scanners might be boundaries of objects in ROI and those boundaries are employed in these and similar situations. Such systems enhanced using edge grow up algorithm. Optical integrate OCR software to offer the function of scanning and Character Recognition (OCR) is the key algorithm which recognition of text and some have integrated voice output. is used for extracting the label text from the given input However, these systems can be performed only for the image, irrespective of the font style of the label and no document images with simple backgrounds, standard fonts, a matter however complex the background maybe. Once small range of font sizes, and well-organized characters the product name is extracted, the output is given in the rather than with multiple decorative patterns. form of speech using voice board and is also displayed A number of portable reading assistants have been designed using LCD by interfacing both with a microcontroller. specifically for the visually impaired “K-Reader Mobile” runs on a cell phone and allows the user to read mail, receipts, Using the histogram equalization technique, the given fliers, and many other documents. However, the document to barcode image is analyzed and the barcode number is be read; must be nearly flat, placed on a clear, dark surface alone extracted from the entire input. Once the number and contain mostly text. In addition, “K-Reader Mobile” is extracted, it is searched through the database and the accurately reads black print on a white background, but has corresponding product details are identified and problems recognizing colored text or text on a colored and announced. complex background. Furthermore, these systems require a Key Words: Maximally Stable Extremal Region (MSER), Region of Interest, Canny edge detection, Background subtraction, Optical Character Recognition (OCR), Histogram equalization.
1. INTRODUCTION There are 314 million visually impaired people worldwide, of those 45 million are blind according to a report released by “World Health Organization” in 10 facts regarding blindness. Reading is obviously essential in today’s society. Developments in computer vision technologies are focusing on assisting these individuals. So the basic idea is to develop a camera based device which combines computer vision technology, to help the blind identify and understand the © 2017, IRJET
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blind user to manually localize areas of interest and text regions on the objects in most cases. Even though a number of reading assistants have been designed specifically for the visually impaired, no existing reading assistant can read text from the kinds of challenging patterns and backgrounds found on many everyday commercial products such as text information can appear in various scales, fonts, colors, and orientations. There are various drawbacks of these existing systems like, the texts from non-uniform or complex backgrounds cannot be identified, the algorithms cannot process text strings fewer than three characters and for the barcode recognition, only the barcode number is read and the product details cannot be identified.
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