Boosting offline handwritten text recognition in historical documents with few labeled lines
In this paper we address the problem of offline handwritten text recognition (HTR) in
historical documents when few labeled samples are available and some of them contain …
historical documents when few labeled samples are available and some of them contain …
Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units
In this study, a novel technique is proposed to recognize printed text in images for Urdu, a
low-resource language with a scarcity of benchmark datasets. The proposed technique is …
low-resource language with a scarcity of benchmark datasets. The proposed technique is …
Text line segmentation from struck-out handwritten document images
In the case of freestyle everyday handwritten documents, writing, erasing, striking out, and
overwriting are common behaviors of the writers. This not cleanly-written text poses …
overwriting are common behaviors of the writers. This not cleanly-written text poses …
Strike off removal in Indic scripts with transfer learning
Strike-off text poses major challenges in handwritten text recognition as it changes the
semantic and structural information of the image. Although significant results have been …
semantic and structural information of the image. Although significant results have been …
Deformity removal from handwritten text documents using variable cycle GAN
Text recognition systems typically work well for printed documents but struggle with
handwritten documents due to different writing styles, background complexities, added noise …
handwritten documents due to different writing styles, background complexities, added noise …
[HTML][HTML] Struck-out handwritten word detection and restoration for automatic descriptive answer evaluation
D Zhong, S Palaiahnakote, U Pal, Y Lu - Signal Processing: Image …, 2025 - Elsevier
Unlike objective type evaluation, descriptive answer evaluation is challenging due to
unpredictable answers and free writing style of answers. Because of these, descriptive …
unpredictable answers and free writing style of answers. Because of these, descriptive …
Strikethrough removal from handwritten words using CycleGANs
Obtaining the original, clean forms of struck-through handwritten words can be of interest to
literary scholars, focusing on tasks such as genetic criticism. In addition to this, replacing …
literary scholars, focusing on tasks such as genetic criticism. In addition to this, replacing …
Paired image to image translation for strikethrough removal from handwritten words
Transcribing struck-through, handwritten words, for example for the purpose of genetic
criticism, can pose a challenge to both humans and machines, due to the obstructive …
criticism, can pose a challenge to both humans and machines, due to the obstructive …
Proposing vietnamese text recognition algorithm combining craft and vietocr
Letter recognition based on artificial neural networks is currently achieving promising
results. In this paper, we propose a method that combines character-region awareness for …
results. In this paper, we propose a method that combines character-region awareness for …
Modified state activation functions of deep learning-based SC-FDMA channel equalization system
MA Mohamed, HA Hassan, MH Essai… - EURASIP Journal on …, 2023 - Springer
The most important function of the deep learning (DL) channel equalization and symbol
detection systems is the ability to predict the user's original transmitted data. Generally, the …
detection systems is the ability to predict the user's original transmitted data. Generally, the …