Araştırma Makalesi
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ANALYZING THE CONTENT OF DAIRY PRODUCTS USING IMAGE PROCESSING TECHNIQUES

Yıl 2017, Sayı: 1, 224 - 228, 09.11.2017

Öz

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.

Kaynakça

  • Öztürk, U. D. M., & Besler, H. T. (2006). Besin alerjileri. Boğa, A., & Binokay, S. (2010). Food additives and effects to human health. Archives Medical Review Journal, 19(3), 141-154. Hocaoğlu, A. B. Çocukluk Çağında Astım ve Gıda Alerjileri. Göney, G., Yalçın, A. D., & Ünitesi, A. ALERJİ VE ALERJENLER. Burges, C. J. C., Be, J. I., & Nohl, C. R. (1992, November). Recognition of handwritten cursive postal words using neural networks. In Proc. USPS 5th Adv. Technology Conf (Vol. 117). de Campos, T., Babu, B. R., & Varma, M. (2009). Character recognition in natural images. Kharma, N. N., & Ward, R. K. (1999). Character Recognition Systems for the non-expert. IEEE Canadian Review, 33, 5-8. Li, X., & Yeung, D. Y. (1997). On-line handwritten alphanumeric character recognition using dominant points in strokes. Pattern recognition, 30(1), 31-44. Avci, E., & Akpolat, Z. H. (2006). Speech recognition using a wavelet packet adaptive network based fuzzy inference system. Expert Systems with Applications, 31(3), 495-503. Gonzalez, R. C., & Woods, R. E. (2002). Digital image processing prentice hall. Upper Saddle River, NJ. Engin, A. V. C. I. (2007). Doku tipi imgelerin sınıflandırılması için bir uyarlamalı entropi tabanlı dalgacık- yapay sinir ağı sistemi. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 22(1). Mao, J., Sinha, P., & Mohiuddin, K. (1998). A system for cursive handwritten address recognition. In Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on (Vol. 2, pp. 1285-1287). IEEE. Ng, C. M., Ng, V., & Lau, Y. (1999). Regular feature extraction for recognition of Braille. In Computational Intelligence and Multimedia Applications, 1999. ICCIMA'99. Proceedings. Third International Conference on (pp. 302-306). IEEE. Stutz, M., Thomas, V. M., & Saar, S. (2004, May). Linking bar codes to recycling information for mobile phones. In Electronics and the Environment, 2004. Conference Record. 2004 IEEE International Symposium on (pp. 313-316). IEEE. Liu, X., & Lin, C. (2007, April). Information Management System of Grocery Production Processing Based on a Bar Code Identification Technology. In Anti-counterfeiting, Security, Identification, 2007 IEEE International Workshop on (pp. 164-168). IEEE.
Yıl 2017, Sayı: 1, 224 - 228, 09.11.2017

Öz

Kaynakça

  • Öztürk, U. D. M., & Besler, H. T. (2006). Besin alerjileri. Boğa, A., & Binokay, S. (2010). Food additives and effects to human health. Archives Medical Review Journal, 19(3), 141-154. Hocaoğlu, A. B. Çocukluk Çağında Astım ve Gıda Alerjileri. Göney, G., Yalçın, A. D., & Ünitesi, A. ALERJİ VE ALERJENLER. Burges, C. J. C., Be, J. I., & Nohl, C. R. (1992, November). Recognition of handwritten cursive postal words using neural networks. In Proc. USPS 5th Adv. Technology Conf (Vol. 117). de Campos, T., Babu, B. R., & Varma, M. (2009). Character recognition in natural images. Kharma, N. N., & Ward, R. K. (1999). Character Recognition Systems for the non-expert. IEEE Canadian Review, 33, 5-8. Li, X., & Yeung, D. Y. (1997). On-line handwritten alphanumeric character recognition using dominant points in strokes. Pattern recognition, 30(1), 31-44. Avci, E., & Akpolat, Z. H. (2006). Speech recognition using a wavelet packet adaptive network based fuzzy inference system. Expert Systems with Applications, 31(3), 495-503. Gonzalez, R. C., & Woods, R. E. (2002). Digital image processing prentice hall. Upper Saddle River, NJ. Engin, A. V. C. I. (2007). Doku tipi imgelerin sınıflandırılması için bir uyarlamalı entropi tabanlı dalgacık- yapay sinir ağı sistemi. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 22(1). Mao, J., Sinha, P., & Mohiuddin, K. (1998). A system for cursive handwritten address recognition. In Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on (Vol. 2, pp. 1285-1287). IEEE. Ng, C. M., Ng, V., & Lau, Y. (1999). Regular feature extraction for recognition of Braille. In Computational Intelligence and Multimedia Applications, 1999. ICCIMA'99. Proceedings. Third International Conference on (pp. 302-306). IEEE. Stutz, M., Thomas, V. M., & Saar, S. (2004, May). Linking bar codes to recycling information for mobile phones. In Electronics and the Environment, 2004. Conference Record. 2004 IEEE International Symposium on (pp. 313-316). IEEE. Liu, X., & Lin, C. (2007, April). Information Management System of Grocery Production Processing Based on a Bar Code Identification Technology. In Anti-counterfeiting, Security, Identification, 2007 IEEE International Workshop on (pp. 164-168). IEEE.
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Makaleler
Yazarlar

Cagla Yildirim

Ceren Atik

Meric Cetin

Yayımlanma Tarihi 9 Kasım 2017
Yayımlandığı Sayı Yıl 2017Sayı: 1

Kaynak Göster

APA Yildirim, C., Atik, C., & Cetin, M. (2017). ANALYZING THE CONTENT OF DAIRY PRODUCTS USING IMAGE PROCESSING TECHNIQUES. The Eurasia Proceedings of Science Technology Engineering and Mathematics(1), 224-228.