Handwritten character recognition is a field of machine learning and artificial intelligence which is at a peak in today's world. It can be thought of as a subset of the image recognition problem. In this system the use of Open CV for performing Image processing and Visual Studio has been used for training the neural Network. Python programming language is used for developing HCR. At first a handwritten text image is being imported to the system. The first process is pre-processing and its task is removal of noise and variation in handwritten word patterns. Now the segmentation process takes place. The segmentation divides the word into separate characters. Then the separated character is being sent to the Open CV which is used to identify the character. The Open CV recognizes each character with the help of 0s and 1s. After recognizing the character, the characters will be joined together and it will be sent to the output. The converted text will saved in a text document. If the system attains only 98% accuracy, then the system will be more efficient.