Imagine a world wherein one can have the advantage of scribbling on ones own paper and then converting it all into Computer recognised language in seconds? Then here you can get what you need.
OCR (also optical character reader, Optical character recognition) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo or from subtitle text superimposed on an image.More Info
What makes us stand apart from the crowd is the development of a new Thinning/skeletalised software which in no time does the job of providing the user with the best possible skeleton thin outline of the figure in question formed out by the sequential erosion technique, something which the Steinford thinning algorithm with all its drawbacks not been able to develop.More Info
First we had the palm devices and now the note devices and Microsoft surface all claiming hard to convert handwritten notes into digital notes. Though the devices mentioned above try their best to convert online handwriting they fail miserably at times. Which makes them not even make an attempt at the curious case of offline pre written handwritten notes.
What makes pre written notes that more difficult is the absence of two major inputs which are the lifeline for the handwriting recognition for such notes.
One being the fact that the pre written notes when extracted have a lot of noise in the background accumulated along with varying levels of thickness. Unwanted lines first needs to be eliminated according to line size and colour. Next the lines which are several pixels thick need to be restored to their original thickness of 1. This is possible by the erosion technique wherein the inner outline remains after effective erosion. Otherwise an "I" would be several I's and the OHR engine would have to work several times more and filter out the closest lines thus obtained before it zeroes in on the correct answer.
A successful offline conversion software has many uses in our day to day life. The cumbersome keyboard can be eliminated for one. Get everything digitised. Plus save the original pattern of writing not in paper but as a series of digits. No I am not talking about storing the image of the handwritten note but saving the note as a series of 0's and ones.
As of now offline recognition is employed only effectively in valuation for examinations whereby one has to put the marks ranging from 0 to 9 in a box and that too with a stylus and then press on a button to get the correct answer. More or less child's stuff as the probability of a failure is 1 to negative infinity.
Another major application for the OHR is in robotics wherein robots can read like humans and can also actually sense different shapes and understand the different elements present altogether in the environment around it thus improving their efficiency. This aspect can be employed further in driverless cars whereby signs and other directions can be read and understood to be processed in real time situations.
The medical transcription industry could have a makeover shift. Maybe they can take over to re-evaluate the converted output.
The amount of hours spent typing as of today could be billions of hours as of a single day considering the number of people typing including chat messages. All this could come down to a trickle of a few minutes if OHR is to be widely used.
With savings in time could come savings in money and with that increase in productivity and more quality of life.
These are just a few of the endless possibilities one can achieve.
The actual possibilities are endless.