The ability of a computer or device to read handwriting from sources such as printed physical documents, images; and other devices as input or to directly input handwriting onto a touchscreen and translate it into text is what we know as handwriting recognition. A pattern-recognition program is typically fed an image; such as a photograph of handwritten text, or real-time recognition utilizing a camera for optical scanning as the input. Continue reading Why Do Companies Use The Handwritten Text Detector API In 2023? we will tell you about Watermark and Handwriting Remover API, a software that will help you with this.
Recognition of Handwriting (HWR)
The capacity of a computer or mobile device to recognize handwriting as actual text is what we call handwriting recognition. In today’s mobile era, handwriting recognition as a direct input to a touchscreen with a pen or finger is the most frequent use case. This is advantageous since it enables the user to quickly write down contact information; such as phone numbers and names, as opposed to entering the same information using the onscreen keyboard.
This is so that most individuals can write more rapidly and with more comfort. Although most smartphones and tablets don’t come with this feature by default, there are several handwriting recognition apps available.
The most used method for identifying handwriting is optical character recognition (OCR). To accomplish this, a handwritten paper is scanned and then transformed into a simple text document. This also functions by photographing handwritten text. OCR is essentially a type of image recognition to identify handwriting rather than faces or other features like landmarks.
OCR
By 2025, the market for optical character recognition (OCR) is anticipated to be worth USD 13.38 billion, growing 13.7% annually. Rapid business process digitalization employing OCR to cut labor expenses and conserve valuable man-hours is what is driving this growth. Although handwriting recognition (Handwriting OCR) or handwritten text recognition (HTR) is a crucial part of optical character recognition; it is still a difficult problem statement. Converting handwritten text into machine-readable text is extremely difficult due to the wide variation in handwriting styles across individuals and the inferior quality of handwritten text compared to printed text. However, it’s an issue that several sectors, including banking, insurance, and healthcare, need to solve.
Recent developments in deep learning, such as the emergence of transformer topologies, have sped up our progress in understanding handwritten text recognition. Intelligent Character Recognition (ICR) is the name of the process of reading handwritten text since it requires far more sophisticated algorithms than ordinary OCR.
We will learn about the complexity of the task of handwritten text recognition in this post, as well as how deep learning techniques can be used to resolve it.
Watermark and Handwriting Remover API, A Handwritten Text Detector
This API automatically detects handwritten or watermarked text in document images and removes it. With Watermark and Handwriting Remover API you will be able to detect and remove any watermark and handwriting on your images. This software supports jpg, png, BMP, pdf, tiff, single frame gif, etc., with image size not more than 10M
After signing up, every developer receives a personal API access key, a unique combination of letters and digits provided to access the API endpoint. To authenticate with the Watermark and Handwriting Remover API REST API, simply include your bearer token in the Authorization header.
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