Abstract
The goal of Text Recognition is to recognize the text from printed hardcopy document to desired format (like .docx). The process of Text Recognition involves several steps including preprocessing, segmentation, feature extraction, classification, post processing. Preprocessing is for done the basic operation on input image like binarization which convert gray Scale image into Binary Image, noise reduction which remove the noisy signal from image. Segmentation stage for segment the given image into line by line and segment each character from segmented line. Future extraction calculates the characteristics of character. A classification contains the database and does the comparison. Nowadays it plays an important role in office, colleges etc.
Cite
CITATION STYLE
Hamzh, A. R. E. M. (2016). Object Recognition using Image Processing. IJIREEICE, 4(11), 61–64. https://doi.org/10.17148/ijireeice.2016.41111
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