Optical character recognition and computer vision method

A computer-implemented optical character recognition and computer vision method for application in images and video including text, the method including computing the void interval in between any original Foreground recognizable objects as new objects and comprising the stages:

• image acquisition, wherein the method receives an image or video containing information as input;
• pre-processing, wherein the method performs the enhancement of image quality for analysis by different techniques, including but not limited to noise reduction, contrast adjustment and color correction;
• image segmentation, wherein the method segments and extracts features, isolating distinctive patterns, detecting edges, corners, textures, and key points;
• object extraction, wherein the identifying features of objects included in the segments are recognized, including general patterns, shapes, and strokes where it locates and identifies different objects, such as drawing bounding boxes around recognized items;
• image classification process, wherein the recognition by object or item is performed through algorithmic and/or machine learning identification, such as categorizing the entire image or objects into classes, and further labelling with confident scores;
• and
• post-processing, wherein error correction, final validation of recognized objects and items and reconstruction of its structures are applied, including operations such as thresholding, result filtering, and context integration;
• wherein the method further comprises the conduction of computing the void interval between any original Foreground recognizable or devised objects, through color or Black and White high contrast reversed binarization on the first binary image to generate a reversed binary use of the image.