Analyzing the Classification Techniques for Bulk of Cursive Languages Data: An Overview

Table 1

Approaches used for cursive text/script/language recognition.

Reference	Authors	Method	Year	Article type
[27]	J. B. Hellige and M. M. Adamson	Hemispheric differences in processing handwritten cursive	2007	Journal
[28]	A. Jalali and M. Lee	High cursive traditional Asian character recognition using integrated adaptive constraints in ensemble of DenseNet and inception models	2020	Journal
[29]	W. Cho, S.-W. Lee, and J. H. Kim	Modeling and recognition of cursive words with hidden Markov models	1995	Journal
[30]	S. Naz et al.	Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks	2016	Journal
[31]	M. Schambach	Recurrent HMMs and cursive handwriting recognition graphs	2009	Conference
[32]	T. G. Rose and L. J. Evett	Semantic analysis for large vocabulary cursive script recognition	1993	Conference
[33]	R. J. Kannan, R. Prabhakar, and R. M. Suresh	Off-line cursive handwritten Tamil character recognition	2008	Conference
[34]	A. A. Chandio, M. Asikuzzaman, and M. R. Pickering	Cursive character recognition in natural scene images using a multilevel convolutional neural network fusion	2020	Journal
[35]	J. Danna, D. Massendari, B. Furnari, and S. Ducrot	The optimal viewing position effect in printed versus cursive words: Evidence of a reading cost for the cursive font	2018	Journal
[36]	B. Verma and H. Lee	Segment confidence-based binary segmentation (SCBS) for cursive handwritten words	2011	Journal