No abstract

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.

Currently, most of the diamond turning tools used for precision machining are still manually manufactured, the profile accuracy of the diamond cutting edge depends on the operator’s experience and skill, so that the process need to be automated. Therefore in this research, an automated grinding system has been developed for the diamond turning tools, controlled by a vision system. The profile of the diamond turning tools is captured in real time via CCD camera. The deviation from an ideal circle is calculated and feedback to the controller, the grinding system then removes cutting edge of turning tool selectively to achieve high quality and high productivity.