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- W4285268575 abstract "In-air handwriting is a popular human–computer interaction platform that offers users with a natural and intriguing means of communication through air-written hand or finger gestures. The complexity of in-air handwriting stems from the fact that it is executed in a single stroke, which leads to irrelevant connecting movements called ligatures between adjoining character strokes or consecutive characters and words in a sentence. So, detection of relevant character or word components from air-written text is an intricate process that requires special consideration. In this paper, we present a multistage heuristic-based text segmentation framework that explores certain statistical and geometrical attributes to extract the significant character and word components from in-air handwritten text (IAHT) lines. Experimental evaluation on an IAHT data set consisting of Assamese sentences indicates that our proposed methodology offers a success rate of around 95% establishing its capability in spotting characters and words from different variations of continuous text lines." @default.
- W4285268575 created "2022-07-14" @default.
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- W4285268575 date "2022-01-01" @default.
- W4285268575 modified "2023-09-27" @default.
- W4285268575 title "A Framework for Segmentation of Characters and Words from In-Air Handwritten Assamese Text" @default.
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- W4285268575 doi "https://doi.org/10.1007/978-981-19-0825-5_25" @default.
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