Abstract -A Clone Detection approach is to find out the reused fragment of code in any application to maintain .Various types of clones are being identified by clone detection techniques. Since clone detection was evolved, it provides better results and reduces the complexity. A different clone detection tool makes the detection process easier and efficiently produces the results. In many existing system, it mainly focuses on line by line detection or token based detection to find out the clone in the system. So it makes the system to take long time to process the entire system. If the fragment of code are not at exact code but the functionalities makes it similar to each other. Then existing system doesn't figure out the clone of that type of clones in it. This paper proposes combination of textual and metric analysis of a source code for the detection of all types of clone in a given set of fragment of java source code. Various semantics had been formulated and their values were used during the detection process. This metrics with textual analysis provides less complexity in finding the clones and gives accurate result
