- ARDUINO CAMERA IMAGE PROCESSING PDF
- ARDUINO CAMERA IMAGE PROCESSING UPDATE
- ARDUINO CAMERA IMAGE PROCESSING CODE
Arduino Arduino is the most popular open source microcontroller platform on the market.OCR as mentioned above is primarily a pattern recognition task, and does not necessarily require DSP however DSP could be useful in cleaning up the characters before OCR post-processing, such as removing noise. In addition, a 32-bit processor is highly recommended. Given enough memory, both flash and RAM, there is no reason a microcontroller cannot perform OCR, although it probably would not be able to do so in real-time - it would need to be an off-line task. Likewise, a dictionary may be used to help recognize words (once again, this would require a lot of flash memory.) If it is known that only numbers are being input in a particular field, this also makes things much easier. The hardest challenge is if the characters are free-form handwritten. In that case feature extraction may be used instead. If the characters are from a variety of fonts, this becomes more difficult. This is fairly easy but requires quite a bit of fixed memory (which can be in flash).
If the characters are known to be created from a particular font, such as Times Roman, or from a few known fonts, pattern recognition can be used. In any case, there is usually a pre-processing stage, in which the characters are de-skewed (aligned so they are vertical for example), and then edge detection is performed. So in all of these cases, the format of the file has to be taken into considerations.
ARDUINO CAMERA IMAGE PROCESSING PDF
Although the term OCR implies using some sort of camera to image the text, more often than not the characters are "read" from an existing document, such as a Word or PDF file, a FAX, or a scanner output (which maybe an image file such as a jpeg). This is a fairly complex topic, and there are several approaches to performing OCR. You can get more idea about this from the thread Tesseract or OpenCV for OCR.Įxtracting numbers and text from a document is called Optical Character Recognition (OCR). I think best Open Source OCR Engine is Tesseract.
ARDUINO CAMERA IMAGE PROCESSING UPDATE
Update : There are many OCR based algorithm's available online for OpenCV but are not that reliable. I have used both RPi and BBB in the past but I would suggest you to buy a RPi for your application since its cheaper and has a huge Documentation online.
ARDUINO CAMERA IMAGE PROCESSING CODE
I would suggest you to use OpenCV that uses C++ for BBB (C++ is faster compared to RPi and BBB doesnt have GPU so there is a chance to slow down processing) and use OpenCV that uses Python for RPi (python is much easier to code and RPi has a GPU). OpenCV is an It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. You can use Image Processing using BBB and OpenCV or RPi and OpenCV. Since BB and RPi both run on linux you can use the most common OpenCV or simpleCV to do the task. RPi has an inbuilt GPU which is better for your applications but BBB can also be used for image Processing application considering the fact that it has a better and faster ARM processor. Or if you are more interested in Microprocessors you can use a embedded computer such as the Raspberry Pi(RPi) or Beaglebone(BB) which is more suitable for powerful image processing projects. You can either do image Processing using Arduino with OpenCV or MatLab. Yes, image processing can be done using Microcontrollers and Microprocessors.
0 kommentar(er)
