Script Identification

Script identification, the task of automatically determining the writing system of text, is crucial for multilingual document processing and various applications like OCR and video analysis. Current research focuses on improving accuracy and efficiency using deep learning models, particularly convolutional neural networks (CNNs) often combined with recurrent neural networks (RNNs) like LSTMs, and incorporating spatial attention mechanisms to handle variations in image quality and script characteristics. These advancements are driven by the need for robust systems capable of handling diverse scripts, including handwritten and printed text in multiple languages, impacting fields ranging from digital archiving to cross-lingual natural language processing.