Handwriting recognition-the last frontiers

Citations Over TimeTop 10% of 2002 papers

Abstract

The last frontiers of handwriting recognition are considered to have started in the last decade of the second millennium. The paper summarizes (a) the nature of the problem of handwriting recognition, (b) the state of the art of handwriting recognition at the turn of the new millennium, and (c) the results of CENPARMI researchers in automatic recognition of handwritten digits, touching numerals, cursive scripts, and dates formed by a mixture of the former 3 categories. Wherever possible, comparable results have been tabulated according to techniques used, databases, and performance. Aspects related to human generation and perception of handwriting are discussed. The extraction and usage of human knowledge, and their incorporation into handwriting recognition systems are presented. Challenges, aims, trends, efforts and possible rewards, and suggestions for future investigations are also included.

Related Papers

• → Online Arabic Handwriting Recognition Using Hidden Markov Models(2006)90 cited
• → Bangla online handwriting recognition using recurrent neural network architecture(2016)15 cited
• → Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition(2008)3 cited
• → Fusion of Segmentation Strategies for Off-Line Cursive Handwriting Recognition(2011)
• → A Review on Handwritten Character Recognition Using Advanced Techniques(2022)