MATLAB code for Optical Character Recognition

Optical Character Recognition plays most important role in the field of Recognition.  In this post we make people aware with how to implement Optical character recognition in MATLAB?

Normally in OCR we do Character recognition we the help of various image processing techniques like thresholding, segmentation and morphology. The steps involved in recognition is as follows.

MATLAB code for Blood Group Detection using Image Processing

Blood Group Detection is most important aspect in medical field. determining of blood types is very important during emergency situation before administering a blood transfusion. Presently, these tests are performed manually by technicians, which can lead to human errors. Determination of the blood types in a short period of time and without human errors is very much essential. A method is developed based on processing of images acquired during the slide test. The image processing techniques such as thresholding and morphological operations are used. The images of the slide test are obtained from the pathological laboratory are processed and the occurrence of agglutination are evaluated. Thus the developed automated method determines the blood type using image processing techniques. The developed method is useful in emergency situation to determine the blood group without human error.