A survey on off-line Cursive Word Recognition

By Alessandro Vinciarelli. 2002

268 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

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Citations in the corpus

A Novel Connectionist System for Unconstrained Handwriting Recognition (2009, background): “Despite more than 30 years of handwriting recognition research [2], [3], [ 4 ], [5], developing a reliable, general-purpose system for unconstrained text line recognition remains an open problem.”
Lexicon-free handwritten word spotting using character HMMs (2012, background): “Handwriting recognition of scanned or photographed text images is still a widely unsolved problem in pattern recogni tion, although it has been an active area of research for several decades [1].”
A New Benchmark Dataset for Handwritten Character Recognition (2009, background): “Automatic segmentation of handwritten characters is an unsolved problem because of Sayre’s paradox: a character cannot be segmented before it has been classified and it cannot be classified before it has been segmented [14, 22].”
Offline recognition of unconstrained handwritten texts using HMMs and statistical language models (2004, background): “O FFLINE cursive handwriting recognition systems presented in the literature deal, almost without exception, with single words [1], [2], [3].”
Text-Independent Writer Identification and Verification Using Textural and Allographic Features (2007, background): “Writer identification is rooted in the older and broader domain of automatic handwriting recognition [1], [2].”
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].”
Neural network language models for off-line handwriting recognition (2014, methodology): “Since handwritten text is one of the most frequently used forms of communication, there has been a substantial interest in the last decades for pattern recognition methods that allow an automatic transcription [1,2].”
IAM-OnDB - an on-line English sentence database acquired from handwritten text on a whiteboard (2005, background): “The recognition of unconstrained handwritten text is still a great challenge although research in the area has started more than 30 years ago [1, 17, 22 ].”