Cervical cancer is the deadly cancer caused in women which affects the cervix region of the uterus. The cervical tissues are categorized into three types the Squanomus Epithelium (SE), Columnar Epithelium(CE) and Aceto White (AW) Region. The AW region is used for diagnosing cervical cancer which is tested with acetic acid turns into white. A Biopsy of the tissue is taken where many computers assisted methods for screening cervical cancer (CC) which is discussed in this paper. In this paper, the several methods used for detecting cervical cancer is discussed which uses different classification techniques like support vector machine (SVM), fuzzy based techniques and texture classification to differentiate the normal, abnormal and cancerous cells.