Abstract
Halal food identification in Muslims community is of high worth. However, the process of identifying and verification of halal food is difficult and time consuming for traders to help Muslims particularly. Accordingly, traders need to develop suitable verification strategy/tool to ensure halal product available in the market. The current research proposed a model that employs Radio Frequency Identification (RFID) technology in collaboration with neural networks. The features of the food product are extracted with RFID passive tag that is fed to train ANN (back-propagation algorithm) to verify halal product in stores to assist traders, sellers, and consumers. Promising results are thus obtained based on real users evaluation in terms of usability, satisfaction, and efficiency.