The term “handwriting recognition” is most frequently used to refer to a computer’s capacity to convert written text from human handwriting. In order to do this, there are two options: either scan the text that has been typed or directly type it into a peripheral input device. Although this technology has evolved significantly recently, not all software is of the same caliber or precision. Therefore, keep reading Detect Handwritten Text In Document Images With This API; we will tell you about Watermark and Handwriting Remover API; a tool that will allow you to detect handwritten text in your images.
What is handwriting recognition?
Surely on more than one occasion, you have found yourself faced with the problem of needing to digitize notes or handwritten texts to edit them on your PC. The same thing happens when we find certain texts that we want to edit, but they are in image format. In these cases, what we will have to do is use optical character recognition software, also known as OCR programs.
These are programs that are responsible for analyzing the text that we have written by hand; in a scanned document or that is within the images or PDF; and converting it into editable text.
There are both easier and harder ones; everything depends on the extra features they incorporate. Remember that they frequently fail to work perfectly and occasionally interpret things incorrectly. Because of this, several of these solutions even give us access to a spell checker. We’re going to show you some of these solutions because they will undoubtedly be very helpful to you for all of the aforementioned reasons.
Character Optical (OCR)
Optical character recognition (OCR), the first of these handwriting recognition methods, has achieved the most widespread success. OCR is a feature that most scanning software packages have, enabling users to scan handwritten documents and convert them into simple text documents. OCR is also used by some archivists to transform vast quantities of old handwritten documents into digital formats that are simple to access and search.
Inline recognition
The second class of handwriting recognition techniques, also referred to as inline recognition, has had varying levels of popularity. The Newton was a handheld computer made by Apple Computers in the 1990s that included the first widely adopted handwriting recognition interface. The Newton should be able to recognize the user’s writing and convert it into text when they use a small pen to write directly on the screen of the device. Since Newton’s software, which sought to learn users’ handwriting patterns, was ineffective in use, its popularity was never very great.
Graffiti
Later, the Palm business put its innovative Graffiti handwriting recognition system under the test. The Graffiti system specified its own system of much simpler line strokes as stand-ins for each letter instead of depending on the natural use of the regular Roman alphabet. This gave him a better chance of correctly recognizing letters and understanding a user’s variants; but it also resulted in a steep learning curve that turned off the majority of traditional users.
A handwriting recognition system is also utilized by Microsoft Corporation Tablet PCs. Tablet PCs, on the other hand, rely on a large database of character variation rather than attempting to understand the subtleties of a user. Compared to adaptive systems; this system seems to have a greater success rate for most users; but it also seems to have a reliability threshold.
Since PDAs and cell phones with pen input have been introduced, research on handwriting recognition software has begun to pick up again. Many businesses have restarted their handwriting recognition research since what was previously the domain of cutting-edge technologists is quickly growing to be a multi-billion dollar sector.
While the problems preventing the creation of a strong and reliable handwriting recognition system are great; recent advances indicate that it is only a matter of time before near-perfect recognition becomes a mainstream reality.
Watermark and Handwriting Remover API
In document images, Watermark and Handwriting Remover API automatically detects and removes handwritten or watermarked content. Using this API, you can locate and eliminate any watermarks and handwriting from your photographs. This software supports JPEG, PNG, BMP, PDF, TIFF, single-frame GIF, and other image formats with a maximum file size of 10M.
Every developer who signs up is given a personal API access key; which is a special string of letters and digits used to access the API endpoint. You only need to submit your bearer token in the Authorization header in order to authenticate with the Watermark and Handwriting Remover API.
Do You Want To Learn More About Watermark and Handwriting Remover API ? Check here!
Thank You For Reading Detect Handwritten Text In Document Images With This APIebsite
Also published on Medium.