Handwritten Characters Segmentation using Projection Approach

Zin, Thi Thi; Thant, Shin; Htet, Ye; Tin, Pyke

doi:10.1109/lifetech48969.2020.1570625477

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…In our prior work, we mainly focused on the character segmentation part that can handle segmentation errors [23]. In this paper, we modified our prior segmentation method to solve the over segmentation errors.…”

Section: Related Workmentioning

confidence: 99%

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Handwritten Character Recognition on Android for Basic Education Using Convolutional Neural Network

et al. 2021

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An international initiative called Education for All (EFA) aims to create an environment in which everyone in the world can get an education. Especially in developing countries, many children lack access to a quality education. Therefore, we propose an offline self-learning application to learn written English and basic calculation for primary level students. It can also be used as a supplement for teachers to make the learning environment more interactive and interesting. In our proposed system, handwritten characters or words written on tablets were saved as input images. Then, we performed character segmentation by using our proposed character segmentation methods. For the character recognition, the Convolutional Neural Network (CNN) was used for recognizing segmented characters. For building our own dataset, handwritten data were collected from primary level students in developing countries. The network model was trained on a high-end machine to reduce the workload on the Android tablet. Various types of classifiers (digit and special characters, uppercase letters, lowercase letters, etc.) were created in order to reduce the incorrect classification. According to our experimental results, the proposed system achieved 95.6% on the 1000 randomly selected words and 98.7% for each character.

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Section: Related Workmentioning

confidence: 99%

“…API for locating the Arabic address on the map, and the Google translate API for translating Arabic text to English text. In our prior work, we mainly focused on the character segmentation part that can handle segmentation errors [23]. In this paper, we modified our prior segmentation method to solve the over segmentation errors.…”

Section: Proposed Systemmentioning

confidence: 99%

Handwritten Character Recognition on Android for Basic Education Using Convolutional Neural Network

et al. 2021

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“…Regarding hormones daily fluctuations in saliva levels are observed [8]. The protein amount in saliva is 1.5-2 mg/ml [39] and includes enzymes, salivary globulins, staterin, haptoglobin, cytokeratins, cystatin C, calgranulin, transferrin, annexin, glycoproteins, mucins [13,Error! Reference source not found.].…”

Section: Compositionmentioning

confidence: 99%

Saliva as potential diagnostic tool – composition, advantages, diagnostic methods and significance in diseases

Adamov,

Stamatov

2024

MedInform

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The advantages of saliva as a potential diagnostic fluid and the abundant salivary composition provide opportunities for easy and accessible examination of salivary content changes in a number of oral and general diseases. The analytical methods of mass spectrometry, matrix assisted laser desorption/ionization, enzyme linked immunoassay and immunofluorescence enable the identification of a large number of biomolecules.Alterations in the expression of signaling and immunoreactive molecules in cases of oral potentially malignant disorders and oral squamous cell carcinoma, where some cytokines show potential to be useful as diagnostic and prognostic factors, are of particular interest.

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