Emperor Journal of Life Science Research
Print ISSN: None Electronic ISSN: None Category: Life Science Research Language: English

Emperor Journal of Life Science Research (EJLSR) is a Monthly Peer-Reviewed, Refereed, Indexed International research journal so there is a wide scope for publication. EJLSR is a platform for all researchers in varied subject to publishing original authoritative research papers, articles, research projects, reviews, mini-reviews, case Studies, synopsis and short research communications. Authors are encouraged to submit complete unpublished and original works, which are not under review in any other journals.

Emperor Journal of Life Science Research (EJLSR)  is a double-blind peer reviewed refereed monthly journal that publishes articles in the field of Life Science Research.

The goal of the journal is to disseminate knowledge, which ensures good practice of professionals, and its focal point is on research and reflections relevant to academicians and researchers in the field of Life Science Research.

The core of the vision EJLSR is to disseminate new knowledge for the benefit of all, ranging from academic research and professional communities to industry professionals in a range of topics in Life Science Research. It also provides a place for high-caliber researchers, practitioners, and Ph.D. students to present on-going research and development in these areas.



Regular Issues


Efficient, Accurate and Fast Pupil Segmentation for Pupillary Boundary in IRIS Recognition

  • Abstract
    Iris recognition is a prominent biometric system because of it is easy to use, high accuracy, fast identification time, accurate matching performance and difficult to spoof. This biometric system is suitable to be used during the current COVID-19 pandemic since it requires contactless scanning and can be captured from a distance. However, the iris recognition’s accuracy can be affected because of reflection, motion blur and deformation of pupillary boundary. Iris recognition may suffer if pupillary boundary is not correctly segmented. False segmentation of pupillary boundary can happen because of reflection. Motion blur can create an unwanted noise on iris images hence can reduce segmentation accuracy. Moreover, pupillary boundary can deform into uneven shape instead of circular shape. Therefore, the objective of this study is to investigate an efficient, accurate and fast segmentation algorithm for pupillary boundary segmentation. First, Wiener filter is used to pre-process iris imag