本研究採用影像處理技術對手機產品的按鍵做語言種類的分類，影像處理技術愈來愈受到重視，主要是其速度與正確率提高，以避免人員誤判情況發生，近年來由於3C產品的趨勢越來越快，要如何降低生產成本是各系統廠追求之目標，故本研究目標除了將影像處理應用在手機產品上外，尚須達到分析時間快，準確率高，因此，本研究先將待測物進行ROI區域尋找，之後再將其二值化，並將各點像像素對X軸與Y軸投影得到累積像素後，經由傅立葉轉換後可知其實部與虛部之值，此數值可視為特徵值，建立各語言類別之基準特徵值，再利用最小差異法便可以將語言種類分類出來，此種方式可以達到快速分類之目標。;This research adopts the technique of image processing to classify the languages for the keypads on cell phones。The technique of image processing is more and more emphasized and that is mainly because of the raise of its speed and accuracy，for avoiding the situations of misjudgments. In recent years，since the trend of 3C products are faster and faster，how to cut down the prime cost is the goal which every ODM/OEM factory pursues。Thus，in addition to applying the technique of image processing to the cell phones，the goal of this study also needs to achieve the efficiency of analysis and the high accuracy。Therefore，the study firstly conducts the test object to do the ROI region search，then divides it into image binarization and transforms the image accumulating pixels from the projection of all pixels of X axis and Y axis through Fourier transform。and after that we can know the value of magnitudes and phase。The value can be regarded as a symbol value. Building up the standard symbol value of different languages and using “Least Significant Difference Procedure”，we can sort out different kinds of languages。The method can achieve the target of fast classification。
