Suchergebnisse

In this paper an accurate Indian handwritten digits recognition system isproposed. The system used three proposed method for extracting the most effectingfeatures to represent the characteristic of each digit. Discrete Wavelet Transform(DWT) at level one and Fast Cosine Transform (FCT) is used for features extractionfrom the thinned image. Besides that, the system used a standard database which isADBase database for evaluation. The extracted features were classified with KNearestNeighbor (KNN) classifier based on cityblock distance function and theexperimental results show that the proposed system achieved 98.2% recognitionrate.