| a system of palm-print image online analysis managed to be established for cancer prediction. It was well known that the cancer is an inherited disease. The palm-print of one person will not change its textile during this people抯 whole life. A theory said that the gene of one individual is expressed by palm-print textile in some way. The assumption of this project is based on that there has already been stable relationship between cancer-gene and palm-print. The arm of this system is to analysis the textile of palm-print to find if there抯 any association between some kind of palm-print pattern and cancer gene. An OLAP system is a kind of DBMS (Database Management System), which can perform the function of both data (information) storage and data analysis. To establish an OLAP system is to provide client (as to this system is doctors) the summary and analysis of data stored to support the decision procedure. The whole system is a joint work. So everyone in the workgroup can only do a part of system development. The part I do is to develop a wavelet filter banks, which Consist of 6 FIR filters. These filters are combined as two sets of three-channel wavelet transform filters that are used for wavelet decomposition and wavelet reconstruction. The three channel wavelet filters are used in two part of OLAP system: first, the pre-processing stage of image, to geometry rectification the image captured and de-noise it as well as. Second, the summary committing stage of OLAP system, to make the thumbnail of the image analysis result. As to the implementation, I provide an idea that to use optimize method to develop the qualified (frequency-divide point, stop-frequency, and so on) half- band low-pass QMF filter. Then make out all of the filter banks via suitable pseudo-unity transform.
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