27Recent Trends in Pattern Recognition, Challenges and Opportunities
S. Kannadhasan1* and R. Nagarajan2
1Department of Electronics and Communication Engineering, Cheran College of Engineering, Tamil Nadu, India
2Department of Electrical and Electronics Engineering, Gnanamani College of Technology, Tamil Nadu, India
Abstract
The process of identifying characters that have been subjected to a visible transformation is referred to as optical character identification (OCR). The OCR process allows for the conversion of a wide variety of texts, documents, and digital pictures into an American Standard Code for Information Interchange or another format that is modifiable by a computer. This enables the data to be edited or located. Current developments in pattern recognition have been demanded by a wide variety of applications, such as OCR, document categorization, and data mining, among others. OCR is an essential component of document scanners and plays an important role in the identification of characters and languages, as well as in the protection of financial identities. There are two distinct categories of OCR devices: online character recognition and offline character recognition. Online OCR is superior to offline OCR in terms of accuracy because it handles characters as they are written, bypassing the initial stage of character identification. Offline OCR can be broken down into two categories: printed OCR and handwritten OCR. The process of recording handwritten or typewritten ...
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