ISSN:2582-5208

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Paper Key : IRJ************749
Author: Vaishnavi Vilas Late
Date Published: 19 Oct 2023
Abstract
Handwriting Recognition (HWR) is also known as Handwritten Text Recognition (HTR). Handwriting recognition is the important part for digital technology. It is field of research. The capability of a computer to receive and clarify perspicuous handwritten input from paper documents, touch -screens, photography and other devices. In 1950, people began teaching computers to understand handwriting. In 2021, handwriting recognition continued improve. Handwriting Recognition makes it easier for computer to read and understand. OCR: OCR stands for Optical Character Recognition. OCR is the technique of handwriting recognition. OCR allows you to scan handwritten documents and books, converting them into text with the help of computer. It is used to convert paper documents into digital scans. When processing documents by hand, it can take twice as long as using handwriting recognition software, also known as Intelligent Character Recognition (ICR). ICR collects the handwritten characters on daily basis for future reference. However, this recognition has its limitations, as ICR may struggle to recognize cursive handwriting, processing it on a character-by-character basis, which can be confusing for the engine. These techniques are used to automate the extraction of text and data from scanned documents, including PDFs. IWR (Intelligent Word Recognition) takes this a step future by not only recognizing individual words but also understanding their context within a sentence, enabling correction and interpretation of text as a human would. These technologies are incredibly valuable for automating data entry and processing tasks and can significantly Improve efficiency and accuracy in handling large volumes of documents. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are common tools in handwriting recognition used for machine learning and deep learning. Offline Recognition: Offline Handwriting Recognition refers to OCR, is a process that converts the handwritten text into a digital format. Offline recognition is look like computers magical tricks, making it possible for the computer to understand and recognize the handwritten text.Online Recognition: Online Handwriting Recognition is similar a helpful friend who can understand your writing, even if there are mistakes. Its a technology that translate the dynamic characteristics of your handwritten words into electronic data. This includes details like the direction, velocity, position of your pen. Mainly used for signature verification.
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