Low-rise Residential Complexes of PetersburgPetrograd-Leningrad of 1900-1941 Period Peculiarities of a New Residential Planned Unit Formation
DOI:
https://doi.org/10.61841/eheztz05Keywords:
Image Processing, Opinion Mining, Optical character recognition, Sentiment Analysis, eriasamyAbstract
The blind person is assisted while shopping so that they can buy quality products and are not misled by false claims or discounts. Here we propose a camera-based system that is used to help blind people read text patterns printed on objects. To obtain the object from the background and extract the text pattern from that object, the system captures the image from the camera and then detects the object region. Also, a recommendation system is built, which helps to choose the right product based on customer reviews. Customer reviews can give an idea about the quality of the product; reviews are collected from online websites and a Sentiment analysis algorithm is used to analyze the review of the product recognized
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References
[1] Ammar A. Radhi,“ Text Recognition using Image Segmentation and Neural Network,” International Journal
of Computer Applications (0975 – 8887) Volume 170 – No.10, July 2017.
[2] Samruddhi Deshpande, Ms. Revati Shriram, “Real Time Text Detection and Recognition on Hand Held
Objects to Assist Blind People”, 2016 International Conference on Automatic Control and Dynamic
Optimization Techniques (ICACDOT) International Institute of Information Technology (I²IT), Pune.
[3] Chucai. Yi , Y. Tian. and Areis . Arditi, ”Portable Camera-Based- Assistive-Text-and-Product Label Reading
From Hand-Held Objects for Blind Persons”IEEE/ASME TRANSACTIONS ON MECHATRONICS.
[4] B. Epshtein, E. Ofek, and Y. Wexler, Detecting text in natural scenes with stroke width transform, in Proc.
Comput. Vision Pattern Recognit., 2010, pp. 29632970.
[5] Wararat Songpan, “The analysis and prediction of customer review rating using opinion mining”, IEEE 15th
International Conference on Software Engineering Research, Management and Applications (SERA),2017
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