This　paper　adopts　combination　of　DWT　and　neural　network　methods　to　locate　the　text　region.　After　analyzing　the　characteristic　of　video　text,　the　feature　of　kurtosis　is　first　used　in　the　field　of　text　extraction,　which　improves　the　locating　accuracy　considerably.　The　OCR　accuracy　is　also　improved　by　using　the　Shannon　interpolation　method　and　Niblack　adaptive　thresholding　method　to　enhance　the　video　text　extracted.　Experiments　show　the　methods　mentioned　above　improve　the　locating　accuracy　to　about　90.4%　and　the　OCR　accuracy　to　about　85.1%.　©　2008　IEEE.