Handwritten Bangla Word Recognition Using HOG Descriptor

@article{Bhowmik2014HandwrittenBW,
  title={Handwritten Bangla Word Recognition Using HOG Descriptor},
  author={Showmik Bhowmik and Md Galib Roushan and Ram Sarkar and Mita Nasipuri and Sanjib Polley and Samir Malakar},
  journal={2014 Fourth International Conference of Emerging Applications of Information Technology},
  year={2014},
  pages={193-197}
}
The holistic approaches for handwritten word recognition treat the words as single, indivisible entity and attempt to recognize words from their overall shape. In the present work, a novel technique to recognize handwritten Bangla word is proposed. Histograms of Oriented Gradients (HOG) are used as the feature set to represent each word sample at the feature space and a neural network based classifier is applied to classify the word images. On the basis of the HOG feature set, the performance… CONTINUE READING

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-10 OF 13 CITATIONS

Text and non-text recognition using modified HOG descriptor

  • 2017 IEEE Calcutta Conference (CALCON)
  • 2017
VIEW 5 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

A Feature Fusion Based Approach for Handwritten Bangla Character Recognition Using Extreme Learning Machine

  • 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

Handwritten Bengali Numeral Recognition using HOG Based Feature Extraction Algorithm

  • 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)
  • 2018
VIEW 1 EXCERPT
CITES METHODS

Off-line Bangla handwritten word recognition: a holistic approach

  • Neural Computing and Applications
  • 2018
VIEW 1 EXCERPT
CITES METHODS

A comparison between Support Vector Machine (SVM) and bootstrap aggregating technique for recognizing Bangla handwritten characters

  • 2017 20th International Conference of Computer and Information Technology (ICCIT)
  • 2017
VIEW 1 EXCERPT
CITES METHODS

Offline handwritten gujarati word recognition

  • 2017 Fourth International Conference on Image Information Processing (ICIIP)
  • 2017
VIEW 3 EXCERPTS
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 21 REFERENCES

A benchmark image database of isolated Bangla handwritten compound characters

  • International Journal on Document Analysis and Recognition (IJDAR)
  • 2014
VIEW 1 EXCERPT

CMATERdb1: a database of unconstrained handwritten Bangla and Bangla–English mixed script document image

  • International Journal on Document Analysis and Recognition (IJDAR)
  • 2011
VIEW 1 EXCERPT

Indian Multi-Script Full Pin-code String Recognition for Postal Automation

  • 2009 10th International Conference on Document Analysis and Recognition
  • 2009
VIEW 2 EXCERPTS

Jawahar,“On segmentation of documents in complex scripts

S.S.K. Kumar, V.C.S. Kumar
  • Proceedings of ICDAR,
  • 2007
VIEW 1 EXCERPT

Chaudhuri,”Indian script character recognition: a survey

B. U. Pal
  • Pattern Recognit
  • 2004
VIEW 2 EXCERPTS