A Proposed Arabic Handwritten Text Normalization Method
Text normalization is an important technique in document image analysis and recognition. It consists of many preprocessing stages, which include slope correction, text padding, skew correction, and straight the writing line.
Tarik Abu-Ain +5 more
doaj +1 more source
A novel local skew correction and segmentation approach for printed multilingual Indian documents
Till date, many Indian government organizations do not have robust software to search for words from scanned office documents having complex multilingual Indian scripts. Manual search of such a multilingual Indian document will take few minutes and there
Narasimha Reddy Soora +1 more
doaj +1 more source
Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia
This paper presents a comprehensive test of the principal tasks in document image analysis (DIA), starting with binarization, text line segmentation, and isolated character/glyph recognition, and continuing on to word recognition and transliteration for ...
Made Windu Antara Kesiman +8 more
doaj +1 more source
Unsupervised Learning of Text Line Segmentation by Differentiating Coarse Patterns [PDF]
Despite recent advances in the field of supervised deep learning for text line segmentation, unsupervised deep learning solutions are beginning to gain popularity. In this paper, we present an unsupervised deep learning method that embeds document image patches to a compact Euclidean space where distances correspond to a coarse text line pattern ...
Berat Kurar Barakat +3 more
openaire +2 more sources
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Character Segmentation and Recognition for Myanmar Warning Signboard Images
This paper publicizes the character segmentation and recognition of the Myanmar warning text signboard images taken by a mobile phone camera in natural scene. In this system, two templates are created.
Kyi Pyar Zaw, Zin Mar Kyu
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Extraction of Text Lines from Handwritten Documents Using Piecewise Water Flow Technique
A novel piecewise water flow technique for text line extraction from multi-skewed document images of handwritten text of different scripts is presented here.
Sarkar Ram +4 more
doaj +1 more source
Character Detection and Segmentation of Historical Uchen Tibetan Documents in Complex Situations
Tibetan is a low-resource language, and Tibetan culture carried by historical Tibetan documents is an important part of Chinese civilization. The study of historical Tibetan documents is of great significance to the protection of Tibetan culture and the ...
Ce Zhang +4 more
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source

