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An Electrocardiogram (ECG) is a graphic tracing of electrical patterns produced by the heart. This test is frequently used for patients who have heart problems and is an important diagnostic procedure. Standard ECG are recorded on paper has a grid on it. The grid work on ECG records is made up of many tiny blocks that are 1 mm square. Each of these tiny boxes is generally 40 ms duration. Heavier lines are used to make larger squares of five boxes tall and five boxes wide. Each larger square has a duration of 200 ms. Five of these larger squares (200× 5) equals 1000 ms or 1 sec. By counting out the grids, we can get a fast approximation of the duration of a particular cardiac cycle or timing cycle. However this becomes increasingly complicated when we would like to analysis the ECG data for higher precision. The normal ECG record comprises a P wave, QRS complex, ST segment, and T wave. Analysis of each segment duration is very important for critical decisions by clinician. In view of this we have developed MATLAB based algorithm to read the ECG images, which has options to calibration in both X and Y axis, followed by algorithm to remove the background grids and extract the numerical co-ordinates of individual points of ECG curve. The numerical data extracted from ECG are highly useful for high precision diagnosis and the details are discussed in the manuscript.