Understanding the OCR Handwriting Recognition Concept
The concept of OCR (Optical Character Recognition) is based on the principle of applying electronic or mechanical conversion of images from printed, handwritten, or typewritten sources. These conventional sources are transformed into a machine readable and editable format (usually in text form), to allow its processing by other applications. The OCR handwriting recognition technology that is formulated from this concept forms the backbone for many newer software developments and hardware innovations. The computer industry is currently being subjected to various OCR handwriting recognition deployments, in fields ranging from academic to intelligent solution systems. The wide usage of the OCR handwriting recognition technology has also created an upswing in the manufacturing of various types of scanning devices for every purpose imaginable. All of these have been achieved through the evolution of the OCR handwriting recognition technology, which began as a specialized field to its now simpler form of implementation. The basic process for the OCR handwriting recognition concept is that the scanning device will extract recognizable information from the source document, and subject it to software processing to come up with the digitized file.
Current State of the OCR Handwriting Recognition Technology
With the focus of OCR handwriting recognition being slightly diverted from the development stage to its practical implementation, there is a considerable rise of its presence in proven technologies. The deployment of this technology is based on proven concepts of the OCR handwriting recognition, which produces an accuracy rate of close to 99 percent. This means that it is capable of translating majority of the textual contents in a document source. One limitation that is currently being resolved by the OCR handwriting recognition experts is the differentiation between the actual characters and the background, in terms of documents that have considerable degraded quality. The current state of OCR handwriting recognition technology allows for its implementation in conjunction with existing software applications. For example, a document subjected to OCR processing can be scanned and automatically opened in any word processing or email program.
Online Character Recognition and OCR Handwriting Recognition
The term OCR can refer to either Optical Character Recognition or Online Character Recognition. Although both technologies deal with handwriting, there is a slight difference that exists in terms of implementation. Generally, OCR handwriting recognition refers to the process of recognizing static (fixed) handwriting, focusing on the shape of the character against its background. This process is done from an offline state with the source being constant. As for Online Character Recognition, the concentration is based on the interpretation of dynamic handwriting motion. This technology is used mostly for handwriting analysis on TabletPC, PDA units, and mobile phones among others.