STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Web Engineering & Technology

Text Recognition System: A Review

  1. Geeta Tiwari
  2. Kartikey Garg
  3. Khushi Khandelwal
  4. Kunal Arya

Abstract

Text recognition is a crucial problem in the meticulousness of digital image processing since so many historical documents now in existence are in the form of paper records. Similar textbook recognition systems are primarily concerned with transubstantiating textual records from physical copies to records that are familiar to the system, making it simpler to retain them in databases or other real-world settings. This work illustrates how image-processing technologies may be used with optical character recognition to increase the delicacy of recognition and the efficacy of extracting text from photos. Using optical character recognition, published papers may be quickly transformed into digital textbook lines and changed by the stoner.

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