Document text recognition uses a concept called OCR (optical character recognition),which is the recognition of printed or written text characters by a computer. This involves scanning a document containing text, and converting character by character to their digital form. Thus, it is defined as the process of digitizing a document image into its constituent characters. Equipment used to obtain clearer images for analysis are cameras and flatbed scanners. Even though it's been out in the world since 1870, the OCR technology is yet to reach perfection. This demanding nature of Optical Character Recognition has made various researchers, industries and technology enthusiasts to divulge their attention to this field. In recent times one can notice a significant increase in the number of research organizations investing their time and effort in this field. In this research, the progress, different aspects and various issues revolving in this field have been summarized. The aim is to present a scrupulous overview of various proposals, advancements and discussions aimed at resolving various problems that arise in traditional OCR.
Median pancreatectomy (MP) has gained popularity in the past decade as treatment of choice for benign and low-malignant potential tumor in the mid-pancreas due to its ability to achieve optimal preservation of pancreatic parenchyma. MP is a safe and effective alternative to major pancreatic resection in selected patients with benign or low-malignant lesions of the pancreas. This paper reports a case of successful MP done for a lesion at the junction of neck and body of pancreas in a rural medical college in India. Post-operative follow up for 2 years showed complete relief of abdominal symptoms with good exocrine and endocrine function.
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