Analysis of Artificial Intelligence based Image Classification Techniques
PDF
PDF

How to Cite

Shakya, Subarna. 2020. “Analysis of Artificial Intelligence Based Image Classification Techniques”. Journal of Innovative Image Processing 2 (1): 44-54. https://doi.org/10.36548/jiip.2020.1.005.

Keywords

  • Fruit image classification
  • Automatic billing system
  • Image classifiers
  • Computer vision recognition

Abstract

Time is an essential resource for everyone wants to save in their life. The development of technology inventions made this possible up to certain limit. Due to life style changes people are purchasing most of their needs on a single shop called super market. As the purchasing item numbers are huge, it consumes lot of time for billing process. The existing billing systems made with bar code reading were able to read the details of certain manufacturing items only. The vegetables and fruits are not coming with a bar code most of the time. Sometimes the seller has to weight the items for fixing barcode before the billing process or the biller has to type the item name manually for billing process. This makes the work double and consumes lot of time. The proposed artificial intelligence based image classification system identifies the vegetables and fruits by seeing through a camera for fast billing process. The proposed system is validated with its accuracy over the existing classifiers Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest (RF) and Discriminant Analysis (DA).

References

Mohamed, Ashraf A., and Ahmed A. Shalaby. "Digital imaging devices as sensors for iron determination." Food chemistry 274 (2019): 360-367.

Hezekiah, James DK, and Shanty Chacko. "A Review on Cornea Imaging and Processing Techniques." Current Medical Imaging 16, no. 3 (2020): 181-192.

Jacob, I. Jeena. "Capsule Network Based Biometric Recognition System." Journal of Artificial Intelligence 1, no. 02 (2019): 83-94.

Manzanilla, Adrian, Sergio Reyes, Miguel Garcia, Diego Mercado, and Rogelio Lozano. "Autonomous Navigation for Unmanned Underwater Vehicles: Real-Time Experiments Using Computer Vision." IEEE Robotics and Automation Letters 4, no. 2 (2019): 1351-1356.

Manoharan, Samuel. "Image detection, classification and recognition for leak detection in automobiles." Journal of Innovative Image Processing (JIIP) 1, no. 02 (2019): 61-70.

Sudharshan, P. J., Caroline Petitjean, Fabio Spanhol, Luiz Eduardo Oliveira, Laurent Heutte, and Paul Honeine. "Multiple instance learning for histopathological breast cancer image classification." Expert Systems with Applications 117 (2019): 103-111.

Vijayakumar, T. "Neural network analysis for tumor investigation and cancer prediction." Journal of Electronics 1, no. 02 (2019): 89-98.

Wang, Xinchen, Weiwei Zhang, Xuncheng Wu, Lingyun Xiao, Yubin Qian, and Zhi Fang. "Real-time vehicle type classification with deep convolutional neural networks." Journal of Real-Time Image Processing 16, no. 1 (2019): 5-14.

Koresh, M. H., and J. Deva. "Computer vision based traffic sign sensing for smart transport." J. Innovative Image Process.(JIIP) 1, no. 01 (2019): 11-19.

Jana, Susovan, Ranjan Parekh, and Bijan Sarkar. "Automatic Classification of Fruits and Vegetables: A Texture-Based Approach." In Algorithms in Machine Learning Paradigms, pp. 71-89. Springer, Singapore, 2020.

Bindhu, V. "Biomedical image analysis using semantic segmentation." Journal of Innovative Image Processing (JIIP) 1, no. 02 (2019): 91-101.

Steinbrener, Jan, Konstantin Posch, and Raimund Leitner. "Hyperspectral fruit and vegetable classification using convolutional neural networks." Computers and Electronics in Agriculture 162 (2019): 364-372.

Chandy, Abraham. "RGBD analysis for finding the different stages of maturity of fruits in farming." Journal of Innovative Image Processing (JIIP) 1, no. 02 (2019): 111-121.

Hossain, M. Shamim, Muneer Al-Hammadi, and Ghulam Muhammad. "Automatic fruit classification using deep learning for industrial applications." IEEE Transactions on Industrial Informatics 15, no. 2 (2018): 1027-1034.

Suma, V. "Computer vision for human-machine interaction-review." Journal of trends in Computer Science and Smart technology (TCSST) 1, no. 02 (2019): 131-139.

Zhang, Baohua, Baoxing Gu, Guangzhao Tian, Jun Zhou, Jichao Huang, and Yingjun Xiong. "Challenges and solutions of optical-based nondestructive quality inspection for robotic fruit and vegetable grading systems: A technical review." Trends in food science & technology 81 (2018): 213-231.