Patent Document ID: 9558403
Application ID: 14241285
Patent Status: 1

Claim One:
1. A Chemical Structure Recognition Tool (CSRT) to extract chemical data from an input image of a hand drawn chemical structure, said Chemical Structure Recognition Tool comprising an image scanner, and an image manipulator and analyzer coupled to the image scanner, wherein: the image scanner is to receive a live feed of the input image from a camera and load the input image into the image manipulator and analyzer, wherein the input image is one of a photograph and a video frame of the hand drawn chemical structure sketched on a surface and captured live by the camera; and the image manipulator and analyzer is to: convert each color pixel of said input image into a grayscale pixel using color conversion coefficients and normalize each pixel for obtaining a grayscale image with chemically significant regions highlighted, wherein the color conversion coefficients include a red color conversion coefficient of 0.2125, a green color conversion coefficient of 0.7154, and a blue color conversion coefficient of 0.0721; binarize said grayscale image into a binary image; smoothen said binary image by Gaussian Smoothing; extract chemical data from the smoothened input image by: recognizing a shape in said binary image to be a circle to identify presence of a circle bond inside a ring; predicting an Optical Character Recognition (OCR) region to find zones containing text; thinning the binary image using a hit or miss morphological operation to identify specific shapes within said binary image; detecting edges of the image by using at least one of sobel operator and canny edge detector; and detecting a double bond and a triple bond; and obtain output files in a digital format with the extracted chemical data from the input image.