ARDIS: a Swedish historical handwritten digit dataset
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DOI: 10.1007/s00521-019-04163-3
Abstract: This paper introduces a new image-based handwritten historical digit dataset named Arkiv Digital Sweden (ARDIS). The images in ARDIS dataset are extracted from 15,000 Swedish church records which were written by different priests with various… read more here.
Keywords: digit; ardis dataset; digit dataset; handwritten digit ... See more keywords
Analysis of machine learning algorithms for character recognition: a case study on handwritten digit recognition
Sign Up to like & getrecommendations! Published in 2021 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v21.i1.pp574-581
Abstract: This paper covers the work done in handwritten digit recognition and the various classifiers that have been developed. Methods like MLP, SVM, Bayesian networks, and Random forests were discussed with their accuracy and are empirically… read more here.
Keywords: analysis machine; digit recognition; handwritten digit; machine learning ... See more keywords
Efficient Handwritten Digit Classification using User-defined Classification Algorithm
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DOI: 10.18517/ijaseit.8.3.5397
Abstract: In automatic numeral digit recognition system, feature selection is most important factor for achieving high recognition performance. To achieve this, the present paper proposed system for isolated handwritten numeral recognition using number of contours, skeleton… read more here.
Keywords: classification algorithm; classification; handwritten digit; recognition ... See more keywords
High Quality Wavelets Features Extraction for Handwritten Arabic Numerals Recognition
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DOI: 10.18517/ijaseit.9.2.6809
Abstract: Arabic handwritten digit recognition is the science of recognition and classification of handwritten Arabic digits. It has been a subject of research for many years with rich literature available on the subject. Handwritten digits written… read more here.
Keywords: digit recognition; handwritten digit; classification; extraction ... See more keywords
Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers
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DOI: 10.3390/app10165430
Abstract: Historical manuscripts and archival documentation are handwritten texts which are the backbone sources for historical inquiry. Recent developments in the digital humanities field and the need for extracting information from the historical documents have fastened… read more here.
Keywords: spotting handwritten; deep transfer; handwritten digit; recognition ... See more keywords