An overview of character recognition focused on off-line handwriting

By N. Arıca, Fatos T. Yarman-Vural. IEEE Transactions on Systems, Man & Cybernetics. Systems, 2001

598 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/2a347110a79a20a1df92053580181a75ca18904c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Rizwan Ahmed Khan
2. Maira Sami
3. Jamshed Memon

Citations in the corpus

• Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models (2011, unknown): “High recognition rates are achieved in character recognition and isolated word recognition, but we are still far from achieving high-performance recognition systems for unconstrained offline handwritten texts [1], [2], [3], [4], [5], [6], [7].”
• Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) (2020, methodology): “Another comprehensive overview of character recognition presented in [36] by Arica et al.”