Title :
Handwritten Bangla Word Recognition Using HOG Descriptor
Author :
Bhowmik, Showmik ; Roushan, Md Galib ; Sarkar, Ram ; Nasipuri, Mita ; Polley, Sanjib ; Malakar, Samir
Author_Institution :
Dept. of Comput. Sc. & Eng., Jadavpur Univ., Kolkata, India
Abstract :
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 achieved by the technique on a small dataset is quite satisfactory.
Keywords :
document image processing; handwritten character recognition; image classification; natural languages; neural nets; word processing; HOG descriptor; HOG feature set; classifier; handwritten Bangla word recognition; histograms of oriented gradients; neural network; word image classification; Character recognition; Feature extraction; Handwriting recognition; Hidden Markov models; Histograms; Optical character recognition software; Bangla script; Histograms of oriented gradients; Holistic word recognition; handwritten words;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2014 Fourth International Conference of
DOI :
10.1109/EAIT.2014.43
