Abstract: Requirements elicitation is the most important phase during requirements engineering process in which requirements are extracted from the stakeholders. One of the vital requirements elicitation activities is requirements prioritization. Requirements prioritization is the process of selecting most significant requirements out of identified requirements. Many requirements prioritization schemes are available in literature, but none of them is considered as a standard technique. The main cause is the parameters that each technique uses. The purpose of this study is to summarize the existing techniques based on the parameters/aspects used in them. Moreover this research study is providing a big picture of prioritization models which is helpful for the researchers working in this area.

• Publication Date: 12-Apr-2016
• DOI: 10.15224/978-1-63248-109-2-16
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Abstract: This paper presents a Comparative Analysis of Shape-based and Zernike moment Feature Extraction Techniques for Fastener Recognition. There a nine features extracted using shape-based technique and 64 moments used in Zernike feature extraction technique. For Zernike moment technique, the 64 moments are divided into 3 groups. The first group is the lower order moments, the second group is the higher order moments and the third group is the combination between the lower order group and the higher order group. The processes taken in the recognition are image acquisition, pre-processing, segmentation, feature extraction, and classification. The segmentation process is carried out by using adaptive filter and the classification process employed artificial neural network. The final result from this experiment is that shape-based technique has a better classification result of about 84.93% correct recognition compared to Zernike moment technique which is about 51.53% (combined group).

• Publication Date: 12-Apr-2016
• DOI: 10.15224/978-1-63248-109-2-17
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