Medical Prescription Identification Solution

Abstract

A medical prescription is a very familier document to any person and is a one that is usually believed impossible to read. There are several reasons for that well known conclustion. First, the sloppy handwriting of the doctors and second, the lack of the domain knowledge. Because of these difficulties in reading a prescription have a high probability of ending up in misreading the content. These misreading often lead to many health issues with regard to the patient and even a threat to their lives. But unfortunatly both the mentioned reasons for such situations cannot be changed. In the present, one of the leading research area is Optical Character Recognition. Among that, handwritten character recognition takes a significant interest in researchers. Taking these advantaged into account and with the help of the domain knowledge, this research is to find a way to accuratly read the content of a medical prescription. This research uses a neural network approach for the charater recognition process and a knowledge base matching to accuralty output the result. The outcome of this research has been a successfull enhancement in the prescription identification domain and has established for further improvements.