Vacuity Measure for Handwritten Character Analysis

Kieu, Van-Cuong; Stutzmann, Dominique; Vincent, Nicole

doi:10.1109/icdar.2017.97

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Character tilt correction is related to document image analysis. In conventional research, some methods are used to correct the inclination of character lines, such as the inclination correction of the character string using a wavelet transform and statistical-based methods [8][9][10][11][12][13][14][15][16][17][18][19][20][21]. When it is a character string (line) with two or more characters, the slope of the character string is estimated, and the slope is corrected.…”

Section: Introductionmentioning

confidence: 99%

Low-Computational-Cost Algorithm for Inclination Correction of Independent Handwritten Digits on Microcontrollers

et al. 2022

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In recent years, the digitization of documents has progressed, and opportunities for handwritten document creation have decreased. However, handwritten notes are still taken for memorizing data, and automated digitalization is needed in some cases, such as making Excel sheets. When digitizing handwritten notes, manual input is required. Therefore, the automatic recognition and input of characters using a character recognition system is useful. However, if the characters are inclined, the recognition rate will be low. Therefore, we focus on the inclination correction problem of characters. The conventional method corrects the inclination and estimates the character line inclination. However, these methods do not work when characters exist in independent positions. Therefore, in this study, we propose a new method for estimating and correcting the tilt of independent handwritten digits by analyzing a circumscribed rectangle and other digital features. The proposed method is not based on an AI-based learning model or a complicated mathematical model. It is developed following a comparatively simple mathematical calculation that can be implemented on a microcontroller. Based on the results of the experiments using digits written in independent positions, the proposed method can correct the inclination with high accuracy. Furthermore, the proposed algorithm is low-computational cost and can be implemented in real-time on a microcontroller.

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