Livestock Brand Identification in Zimbabwe Using Image Processing

Abstract

Recent research suggests that mobile applications have become more efficient than traditional methods. This has led to improvements of many traditional systems into more reliable and efficient systems. This project presents the use of mobile applications in the image-processing field specifically for object recognition through feature extraction and matching. The paper presents the detailed software requirements, use case modelling, and software design of the system and illustrates it in action through systematic examples. A comparison with related work and a set of possible directions of future exploration are also included.