Optical Character Recognition Technique using Intro Sort

Automatic License Plate Recognition (ALPR): A State-of-the-Art Review

Du, S., Ibrahim, M., Shehata, M., & Badawy, W. M. (2012) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2012.2203741 · Cited by 836 · see citing works

Convolutional Neural Network Committees for Handwritten Character Classification

Ciresan, D. C., Meier, U., Gambardella, L. M., & Schmidhuber, J. (2011) · IAPR International Conference on Document Analysis and Recognition (ICDAR) · doi:10.1109/icdar.2011.229 · Cited by 539 · see citing works

Handwritten character recognition through two-stage foreground sub-sampling

Vamvakas, G., Gatos, B., & Perantonis, S. J. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2010.02.018 · Cited by 110 · see citing works

A survey on optical character recognition for Bangla and Devanagari scripts

Bag, S., & Harit, G. (2013) · Sadhana · doi:10.1007/s12046-013-0121-9 · Cited by 83 · see citing works

Optical Character Recognition Techniques: A survey

Singh, S. (2013) · Cited by 82 · see citing works

Visibility enhancement using an image filtering approach

Zhang, Y., Ding, Y., Xiao, J., Liu, J., & Guo, Z. (2012) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/1687-6180-2012-220 · Cited by 63 · see citing works

Recognition of Printed Devanagari Text Using BLSTM Neural Network

Sankaran, N. K., & Jawahar, C. V. (2014) · Cited by 57 · see citing works

Robust Recognition of Degraded Documents Using Character N-Grams

Dutta, S., Sankaran, N. K., Sankar, K. P., & Jawahar, C. V. (2012) · IAPR International Workshop on Document Analysis Systems (DAS) · doi:10.1109/das.2012.76 · Cited by 33 · see citing works

A fast adaptive binarization method for complex scene images

Yang, J., Wang, K., Li, J., Jiao, J., & Xu, J. (2012) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2012.6467253 · Cited by 12 · see citing works

A Novel Approach to Fast Image Filtering Algorithm of Infrared Images based on Intro Sort AlgorithmPreprint

Gupta, K. K., Beg, R., & Niranjan, J. K. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1201.3972 · Cited by 6 · see citing works

A systematic review of the role of learning analytics in enhancing feedback practices in higher education

Banihashem, S. K., Noroozi, O., van Ginkel, S., Macfadyen, L. P., & Biemans, H. J. A. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100489 · Cited by 246 · see citing works

Tap into visual analysis of customization of grouping of activities in eLearning

Aguilar, D. A. G., Hernández-García, Á., García‐Peñalvo, F. J., & Therón, R. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.001 · Cited by 100 · see citing works

The Accessibility of Data Visualizations on the Web for Screen Reader Users: Practices and Experiences During COVID-19

Fan, D., Fay Siu, A., Rao, H., Kim, G. S.-H., Vazquez, X., Greco, L., O'Modhrain, S., & Follmer, S. (2023) · ACM Transactions on Accessible Computing · doi:10.1145/3557899 · Cited by 46 · see citing works

Accuracy analysis of Japanese machine translation based on machine learning and image feature retrieval

Song, G. (2020) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-189211 · Cited by 16 · see citing works

An Application of Operational Analytics: For Predicting Sales Revenue of Restaurant

Bera, S. (2020) · Studies in computational intelligence · doi:10.1007/978-3-030-50641-4_13 · Cited by 14 · see citing works

Author Reflections on Creating Accessible Academic Papers

Menzies, R., Tigwell, G. W., & Crabb, M. (2022) · ACM Transactions on Accessible Computing · doi:10.1145/3546195 · Cited by 12 · see citing works

Influence of domain experience on icon recognition and preferences

Xie, J., Unnikrishnan, D., Williams, L., Encinas‐Oropesa, A., Mutnuri, S., Sharma, N., Jeffrey, P. J., Zhu, B., & Lighterness, P. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1795260 · Cited by 10 · see citing works

An integrated approach for evaluating the visualization of intensional and extensional levels of ontologies

da Silva, I. C. S., Freitas, C. M. D. S., & Santucci, G. (2012) · doi:10.1145/2442576.2442578 · Cited by 9 · see citing works

Integrating fuzzy theory and visualization for QoS-aware selection of SaaS in cloud e-Marketplaces

Ezenwoke, A. A., & Adigun, M. O. (2021) · Cogent Engineering · doi:10.1080/23311916.2021.1911592 · Cited by 8 · see citing works

Introduction to Hyperautomation

Darwish, D. A. M. (2024) · Advances in business information systems and analytics book series · doi:10.4018/979-8-3693-3354-9.ch001 · Cited by 6 · see citing works

Performing Social Media: Artistic Approaches to Analyzing Big Data

Osborne, T., Warner, E., Jones, P., & Resch, B. (2018) · GeoHumanities · doi:10.1080/2373566x.2018.1543552 · Cited by 6 · see citing works

Measurement and Visualization of Programming Processes of Primary School Students in Scratch

Funke, A., & Geldreich, K. (2017) · Workshop in Primary and Secondary Computing Education · doi:10.1145/3137065.3137086 · Cited by 6 · see citing works

How to Transform Programming Processes in Scratch to Graphical Visualizations

Simon, A., Geldreich, K., & Hubwieser, P. (2019) · Workshop in Primary and Secondary Computing Education · doi:10.1145/3361721.3361723 · Cited by 6 · see citing works

Visual Analysis of Educational Data: a Case Study of Introductory Programming courses at the University of Brasília

Hansen, L., de Holanda, M. T., Borges, V. R. P., & Silva, D. D. (2022) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie56618.2022.9962427 · Cited by 4 · see citing works

Dissimilarity Based Regularized Deep Learning Model for Information Charts

Mishra, P., Kumar, S., & Chaube, M. K. (2020) · International Conference on Informatics, Electronics & Vision (ICIEV) · doi:10.1109/icievicivpr48672.2020.9306660 · Cited by 4 · see citing works

Visualizing Reviews Summaries as a Tool for Restaurants Recommendation

Danone, Y., Kuflik, T., & Mokryn, O. (2018) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3172944.3172947 · Cited by 4 · see citing works

A Pilot Study of Developing Introductory Course in Data Analytics and Business Intelligence

Hu, M., & Cleland, S. (2019) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie43999.2019.9028649 · Cited by 3 · see citing works

Application of multidimensional data visualization technology and WebGIS in lightweight visualization system design

Liang, Z., NuErTaYi, B., Xu, Y., Zhang, F., Yang, J., & Wang, J. (2021) · International Conference on Agro-Geoinformatics · doi:10.1109/agro-geoinformatics50104.2021.9530359 · Cited by 3 · see citing works

Human-centered design and development framework for autonomous inspection robot systems in Lean Construction 4.0

Wang, Z., Mei, Q., Lee, G., Bock, T., & Gonzalez, V. A. (2025) · Engineering Construction & Architectural Management · doi:10.1108/ecam-04-2025-0550 · Cited by 2 · see citing works

Prediction of Colon Cancer Disease with the Handling of Outliers and Overfitting through Neural Network Clustering and Optimal Tuning

Britto, C. F. (2023) · International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) · doi:10.1109/icaiccit60255.2023.10466107 · Cited by 1 · see citing works

Application of Data Mining and Visualization Techniques in Analyzing the Demand for Artificial Intelligence Jobs

Luo, R., Qian, Z., & Li, Z. (2024) · International Conference on Electronic Communication and Artificial Intelligence (ICECAI) · doi:10.1109/icecai62591.2024.10674896 · Cited by 1 · see citing works

Contribution of internet-based tools in monitoring exotic parrots

Per, E. (2019) · Turkish Journal of Forestry | Türkiye Ormancılık Dergisi · doi:10.18182/tjf.603520 · Cited by 1 · see citing works

A Literature Study of Visual Analysis in an Educational Context

Hansen, L., Borges, V. R. P., & de Holanda, M. T. (2020) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie44824.2020.9274178 · Cited by 1 · see citing works

Collaborative Visualization Framework for Cross-field Working Group: A Qualitative Focus Group Study

Hasni, D. I. M., Sarlan, A. B., & Ahmad, R. B. (2020) · doi:10.1109/icci51257.2020.9247663

Power of Movement: Testing Animated Infographics on Water Conservation Knowledge

Holt, J., Lamm, A. J., Qu, S., & Gibson, K. E. (2025) · Journal of Agricultural Education · doi:10.5032/jae.v66i1.65

How useful are interactive small multiples for the visualization of overlapping areal information? An expert evaluation in spatial planning

Reutimann, S., Bronowicz, C., & Bleisch, S. (2025) · International Journal of Cartography · doi:10.1080/23729333.2026.2696783

Evaluating Data Presentation Tools for Effective Communication

Sharma, N. N., Nesch, K., Dascalu, S. M., & Harris, F. C. (2025) · ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) · doi:10.1109/snpd65828.2025.11254572

A Four-Stage Framework of Visual Complexity and Trust as Mediated by Effort

Lin, K., Guan, H., Rapp, D. N., & Bearfield, C. X. (2026) · IEEE Pacific Visualization Conference (PacificVis) · doi:10.1109/pacificvis68791.2026.00012

Financial management, A

Khan, Y., Gupta, K. K., & Phd, N. D. (2016)

Optical character recognition techniques in mail sorting: a review of algorithms

Hull, J. J., Krishnan, G., Palumbo, P. W., & Srihari, S. (1984) · Cited by 3 · see citing works

Optical Character Recognization

Kumar, A. (2020)

A Review on Optical Character Recognition Techniques

Modi, H., & C., M. (2017) · International Journal of Computer Applications · doi:10.5120/ijca2017913061 · Cited by 29 · see citing works

Optical character recognition without segmentation

Özdil, M. A., Yarman-Vural, F. T., & Arıca, N. (1979) · Lecture notes in computer science · doi:10.1007/3-540-63508-4_174 · Cited by 11 · see citing works