2020
DOI: 10.30534/ijatcse/2020/26912020
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Handwritten Phoenician Character Recognition and its Use to Improve Recognition of Handwritten Alphabets with Lack of Annotated Data

Abstract: Unlike Latin, the recognition of Phoenician handwritten characters remains at the level of research and experimentation. In fact, such recognition can contribute to performing tasks such as automatic processing of Phoenician administrative records and scripts, the digitization and the safeguarding of the written Phoenician cultural heritage. As such, the availability of a reference database for Phoenician handwritten characters is crucial to carry out these tasks. To this matter, a database for Phoenician hand… Show more

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Cited by 5 publications
(5 citation statements)
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“…These two studies demonstrate technological approaches to improve the understanding and recognition of letters in different contexts. Highlights AR application development using MDLC [15] [16]. MDLC can be widely used to develop innovative learning media.…”
Section: Related Workmentioning
confidence: 99%
“…These two studies demonstrate technological approaches to improve the understanding and recognition of letters in different contexts. Highlights AR application development using MDLC [15] [16]. MDLC can be widely used to develop innovative learning media.…”
Section: Related Workmentioning
confidence: 99%
“…Parameters learned from a previously trained model with thousands of samples were borrowed in target HCR problems with a few samples. Also, Sadouk et al [23] developed a transfer learning system by introducing a pre-trained Phoenician ConvNet and utilizing it in a series of experiments on different target alphabet datasets.…”
Section: Meta-learningmentioning
confidence: 99%
“…At present, CR can be divided into print recognition and handwriting recognition [13][14]. According to the type of handwriting recognition, handwriting methods are divided into two forms: online and offline.…”
Section: Cr Classificationmentioning
confidence: 99%