Author Identification of Handwritten Text

Computer and phones may be more ubiquitous than ever, but many people still prefer the traditional feeling of writing with ink on paper. Ultimately, this method set out well for decades in human history. Despite the availability of various technological writing tools, many people still choose to take their notes traditionally: with pen and paper. However, there are certain pitfalls in traditional way of handwritten text. It is tedious job to store and retrieve the documents in an organized manner, search through them efficiently and to share them with others. Thus, handwritten Identification is the propensity to interpret scanned handwritten document as input from external sources such as notes, scripts, pdfs etc into digital form. A handwriting recognition system handles pre- processing, performs accurate segmentation into characters images, and finds the most feasible words. Hence, translating the handwritten characters to the digital format also saying the author who wrote the text. With time the text on the paper will fade away but a file stored on a computer will be lost only if it is deleted. Storing any handwritten document in a digital format has gained prime importance as a way of preserving history.