Mostafa Karbasi

MALAYSIAN SIGN LANGUAGE DATASET FOR AUTOMATIC SIGN LANGUAGE RECOGNITION SYSTEM

Hearing impaired individuals have issues to communicate with normal people. They have their own language called Sign Language (SL) to express their feeling or to communicate with others. As communication is an essential part of normal everyday life, it is particularly important for deaf people to communicate as normally as possible with others. Recent advancements in computing technologies have the potential to be applied in the field of SL recognition. These computer-based approaches are able to translate the SL into verbal language and vice-versa. This paper describes the development of a dataset for an automated SL recognition system based on the Malaysian Sign Language (MSL). Implementation results are described.

Comparison between NFC/RFID and Bar Code Systems for Halal Tags Identification: Paired Sample T-Test Evaluation

Malaysia is a modern Muslim country where the research on Halal product identification is at the peak. In this study, the authors have developed the mobile application which is based on Radio frequency identification near field communication RFID/NFC. The author first developed the database based on the data from Jabatan Kemajuan Islam Malaysia JAKIM, which is Malaysian Halal logo identification authority then the mobile application which uses the Near Field Communication to detect the Halal food using the Radio Frequency Identification. In this paper authors have performed the experimental analysis by comparing the Barcode system that is comprised of parallel line detected by the simple webcam for the Halal logo identification and the new developed RFID NFC mobile application. Paired sample T-Test was performed by using the SPSS 23.0 version. The results revealed that there is significantly difference between the usability, efficiency, affordability, security and satisfaction. The users are more satisfied with the newly developed mobile application as compared to old halal logo system in Malaysia.

An Adoption of Halal Food Recognition System Using Mobile Radio Frequency Identification (RFID) and Near Field Communication (NFC)

This study is focused on validating halal status for food products by using Radio Frequency Identification (RFID) or Near Field Communication (NFC) technology to enhance existing methods in Malaysia. In this research, an effective method to identify and confirm the food status is proposed. Besides, designing a database of halal products, halal identification and validation applications for android smart phones are considered. Investigation on advanced technologies to introduce an RFID based identification system using current smart phones and evaluation of other methods to realize the suitable method is highlighted.