Mohd. Shafry

Measuring fish length from digital images (FiLeDI)

In fishery research, fish length plays a great role to identify population. However, current method can be problematic as the fish should be obtained from the fishermen first. This process may lead to time consuming and cost overflowing. Therefore, a method to measure the length of a fish automatically using image processing and formula optic is greatly needed to solve these problems. In this paper, we will discuss on the details of FiLeDI framework. The FiLeDI framework is a combination between Hsius method and Serkans method. The accuracy of measuring the fish length was 99.81%.

A review on 2D ear recognition

Biometric systems have been implemented on numerous public facilities that able to enhance the security system. Nowadays, fingerprint and face are the most popular biometric. In addition, emerging technology has introduced potential biometric such as hand geometry, palm print, lips, teeth and vein. However, most of this biometric requires a special device to capture it. This will added more cost to implement the system. Ear is one of emerging biometric and proven having a great potential for identifying a person. Recently, a study shows human ear can easily captured just using an ordinary camera and it can be extracted from existing face profile image. In general, human ear is captured using a camera, after that the ear recognition system will attempt to identify it. Numerous methods have been proposed by the community to establish ear recognition system. Hence, this paper summarized, reviewed and critically discussed various recent advances in 2D ear recognition, in order to find out the research gap.