Undoubtedly, most ovarian lesions, endometrial pathology and uterine lesions are best detected with ultrasound. Computed tomography (CT) imaging offers better diagnostic capabilities for large pelvic masses, tubo- ovarian abscesses, postoperative and postpartum complications. In some cases, Computed Tomography (CT) is employed to achieve optimal differential Diagnosis to determine the clinical pathway to follow. Hence based on above findings the present study was planned for Assessment of Suspicious Ovarian Masses by Comparative Study of USG and CT Techniques. The present study was planned in Department of Radio- Diagnosis, Katihar Medical College, Katihar (Al-Karim University), Bihar, India. In the present study 50 females were enrolled having Suspicious Ovarian Masses. Computed tomography (CT) and USG characteristics of different lesions were noted and recorded. The histopathological diagnosis was followed up and recorded. The results of this study were analysed and compared with other available studies in literature. The data generated from the present study concludes that Ultrasonography is usually the first imaging modality in evaluation of female patients suspected to have pelvic pathology. Computed tomography is superior diagnostic imaging modality than USG prior to treatment which improved detection and characterization of tumour due to better diagnostic accuracy and consequently reduction of invasive procedure which lead to significant reduction of mortality and morbidity from tumour. Keywords: Ovarian Masses, Comparative Study, USG, CT Techniques, etc.

For achieving high security in varied areas, biometric system has become common analysis space over past decades. Biometric system provides machine-controlled personal identification supported distinctive features of an individual. Biometric system depends on distinguishing every individual on the premise of their physiological options (face, finger print, palm print, retina, iris) still as behavioral options (signature, key stroke, voice). Security will primarily be achieved by three factors: password or pin, sensible token or access card, biometric technology. Out of those three ways, biometric system is best as a result of user ought not to remember (password or pin) or keep something (smart token or access card) for identification or verification. In this paper present a novel approach iris recognition based on DCT Matrix coefficient and significant recognition rate as well as speed is achieved.