Research ArticleOpen accessAll words, across the recordHybrid SIFT-DCT Approach for Face Matching of BuddhaStatues: Addressing Negative Similarity Metrics with SHashingLinda Marlinda, Fikri Budiman et al.Art and cultural heritage rely on image processing techniques forpreservation and analysis. A key challenge in this study is accuratelydetecting highly similar Buddha faces despite variations in lighting, rotation,and minor facial differences. This paper proposes a Content-Based ImageRetrieval (CBIR) framework that integrates Discrete Cosine Transform(DCT) and Scale-Invariant Feature Transform (SIFT) to enhance face-matching accuracy. The system is tested on a … …Journal of Computer Science, Vol. 21, Issue 7 · 29 Jul 2025 · 3,483 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Comparative Analysis of Biometrics Types: Literature ReviewMohammad Al Rousan, Benedetto IntrigilaThis study provides a thorough analysis of the various biometric types, including their advantages and disadvantages. It compares the different types and provides details about false acceptance and false rejection rates, along with their equations. Biometric screening systems are used to test and identify persons using their physiological or behavioral characteristics. Using only one recognition device is not suitable for … …Journal of Computer Science, Vol. 16, Issue 12 · 24 Dec 2020 · 9,003 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFACIAL FEATURE EXTRACTION TECHNIQUES FOR FACE RECOGNITIONRahib H. AbiyevFace recognition is one of the biometric techniques used for identification of humans. The design of the face recognition system includes two basic steps. The first step is the extraction of the image's features and the second one is the classification of patterns. Feature extracting is a very important step in face recognition. The recognition rate of the system depends … …Journal of Computer Science, Vol. 10, Issue 12 · 23 Dec 2014 · 10,328 accessesView PDFCite