A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation
Handwriting has remained one of the most frequently occurring patterns that we come
across in everyday life. Handwriting offers a number of interesting pattern classification …
across in everyday life. Handwriting offers a number of interesting pattern classification …
Handwritten character recognition through two-stage foreground sub-sampling
In this paper, we present a methodology for off-line handwritten character recognition. The
proposed methodology relies on a new feature extraction technique based on recursive …
proposed methodology relies on a new feature extraction technique based on recursive …
A complete optical character recognition methodology for historical documents
In this paper a complete OCR methodology for recognizing historical documents, either
printed or handwritten without any knowledge of the font, is presented. This methodology …
printed or handwritten without any knowledge of the font, is presented. This methodology …
Pioneer dataset and recognition of Handwritten Pashto characters using Convolution Neural Networks
This paper presents an efficient OCR system for the recognition of offline Pashto isolated
characters. The lack of an appropriate dataset makes it challenging to match against a …
characters. The lack of an appropriate dataset makes it challenging to match against a …
Zoning methods for handwritten character recognition: A survey
This paper presents a survey on zoning methods for handwritten character recognition.
Through the analysis of the relevant literature in the field, the most valuable zoning methods …
Through the analysis of the relevant literature in the field, the most valuable zoning methods …
[PDF][PDF] Handwritten Gurmukhi character recognition using statistical and background directional distribution
In this manuscript handwritten Gurmukhi character recognition for isolated characters is
proposed. We have used some statistical features like zonal density, projection histograms …
proposed. We have used some statistical features like zonal density, projection histograms …
[PDF][PDF] An improved zone based hybrid feature extraction model for handwritten alphabets recognition using euler number
This paper presents an Improved Zone based Hybrid Feature Extraction Model using Euler
Number, which not only improves the feature extraction process which was implemented in …
Number, which not only improves the feature extraction process which was implemented in …
A novel hierarchical technique for offline handwritten Gurmukhi character recognition
The increasing need of a handwritten character recognition system in the Indian offices such
as banks, post offices and so forth, has made it an imperative field of research. In present …
as banks, post offices and so forth, has made it an imperative field of research. In present …
Adaptive membership functions for handwritten character recognition by voronoi-based image zoning
In the field of handwritten character recognition, image zoning is a widespread technique for
feature extraction since it is rightly considered to be able to cope with handwritten pattern …
feature extraction since it is rightly considered to be able to cope with handwritten pattern …
[PDF][PDF] Use of Gabor Filters for recognition of Handwritten Gurmukhi character
In this manuscript handwritten Gurmukhi character recognition for isolated characters is
proposed. We have used Gabor Filter based method for feature extraction. Our database …
proposed. We have used Gabor Filter based method for feature extraction. Our database …