ANALYZING THE CONTENT OF DAIRY PRODUCTS USING IMAGE PROCESSING TECHNIQUES

Abstract

Considering human health, it is very important for individuals to select the products they will use correctly in order to reduce the effect caused by any allergic or chronic health condition. In addition, health problems caused by nutrients are increasing day by day. Thus, people should carefully check the components and contents of their purchased products in case of any health problem. In this study, it was aimed to determine the nutrients that could trigger some health problems related to the consumption of dairy products and to prevent the consumption of these nutrients. For this purpose, an application which is user friendly and easy to use in daily life has been developed by using image processing based techniques. The mobile application, called "Dairy Products", was developed using Tesseract's Tess-two library on Android Studio with Java language. It was aimed to perform content analysis of dairy products by application developed using Optical character recognition (OCR). The objective of OCR system for general purpose is to convert scanned or photographed pictured format documents into corresponding usable symbolic representation. With this application, the dairy products that should not be consumed as a result of the content analysis can be determined specifically for the person.

Keywords

• Optical character recognition,image processing,android mobile applications,content analysis

References

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