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Unknown-length handwritten numeral string recognition using cascade of PCA-SVMNet classifiers
Automatic recognition of handwritten digit string with unknown length has many potential
real applications. The most challenging step in this problem is how to efficiently segment …
real applications. The most challenging step in this problem is how to efficiently segment …
Handwritten digit segmentation: Is it still necessary?
Over the last decades, a great deal of research has been devoted to handwritten digit
segmentation. Algorithms based on different features extracted from the background …
segmentation. Algorithms based on different features extracted from the background …
Segmentation and recognition system for unknown-length handwritten digit strings
The segmentation of handwritten digit strings into isolated digits remains a challenging task.
The difficulty for recognizing handwritten digit strings is related to several factors such as …
The difficulty for recognizing handwritten digit strings is related to several factors such as …
Binary segmentation algorithm for English cursive handwriting recognition
Segmentation in off-line cursive handwriting recognition is a process for extracting individual
characters from handwritten words. It is one of the most difficult processes in handwriting …
characters from handwritten words. It is one of the most difficult processes in handwriting …
Handwritten digit segmentation: a comparative study
In this work, algorithms for segmenting handwritten digits based on different concepts are
compared by evaluating them under the same conditions of implementation. A robust …
compared by evaluating them under the same conditions of implementation. A robust …
A comprehensive comparison of end-to-end approaches for handwritten digit string recognition
Over the last decades, most approaches proposed for handwritten digit string recognition
(HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby …
(HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby …
Multi-oriented touching text character segmentation in graphical documents using dynamic programming
The touching character segmentation problem becomes complex when touching strings are
multi-oriented. Moreover in graphical documents sometimes characters in a single-touching …
multi-oriented. Moreover in graphical documents sometimes characters in a single-touching …
DenseNet-CTC: An end-to-end RNN-free architecture for context-free string recognition
H Zhan, S Lyu, Y Lu, U Pal - Computer Vision and Image Understanding, 2021 - Elsevier
String recognition is one of the challenging tasks in document analysis and recognition
areas. Recently, with the surge of interest in end-to-end segmentation-free methods, CRNN …
areas. Recently, with the surge of interest in end-to-end segmentation-free methods, CRNN …
Recognizing arbitrarily connected and superimposed handwritten numerals in intangible writing interfaces
CC Chiang, RH Wang, BR Chen - Pattern Recognition, 2017 - Elsevier
An intangible writing interface is a new input mechanism that allows users to write in the air
with hands or fingers. Since all written characters are connected in one writing trajectory …
with hands or fingers. Since all written characters are connected in one writing trajectory …
SVM-based segmentation-verification of handwritten connected digits using the oriented sliding window
We propose in this paper a system to recognize handwritten digit strings, which constitutes a
difficult task because of overlap** and/or joining of adjacent digits. To resolve this …
difficult task because of overlap** and/or joining of adjacent digits. To resolve this …