The developing need have written by hand Marathi character acknowledgment in Indian workplaces, for example, international ID, railroads and so on has made it key range of an examination. Because of expansive character set, Complex shape are more inclined to miss characterization. Highlight extraction is one of the fundamental capacity of manually written Script Identification. It includes measuring those components of the data example are important to order. This paper proposed a PCA calculation to perceive transcribed Marathi character PCA is a method for recognizing designs in information and communicating the information so as to highlight their similitudes and contrasts. Chief part examination (PCA) is a traditional measurable technique. This straight change has been broadly utilized as a part of information investigation and pressure. Main segment examination depends on the factual representation of an irregular variable. The PCA system views every character picture as a component vector in a high dimensional space by linking the columns of the picture and utilizing the power of every pixel as a solitary element vector.

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Segmentation Pca Binarization