• Tesma Jude
• Jasmine Jose

English character recognition using ANN (Artificial Neural Network) with HOG (Histogram of Oriented Gradients) features is a very useful software in the field of character recognition. Here we do this project by using Open CV platform. The system is divided into two stages. They are training and testing stage. Both stages include image acquisition, pre-processing segmentation and feature extraction respectively. Image pre-processing is technique of enhancing data images prior to computational processing ie,removing low-frequency background noise ,normalizing the intensity of individual particles images, removing reflections and masking portions of images. Preprocessing involve normalizing image into 35X35 matrix, de-skewing ,smoothening, and extract character feature from image by using HOG(Histogram of Oriented Gradients) method. Here we set neural network as ANN (Artificial Neural Network) .The result indicates that artificial neural network provides good recognition accuracy more than 85% of hand-written English alphabets

Handwritten Character Recognition, English Alphabets, Feature Extraction, HOG (Histogram of Oriented Gradients) Method, Open CV

"ENGLISH CHARACTER RECOGNITION USING ANN WITH HOG FEATURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.934-941, March-2018, Available :http://www.jetir.org/papers/JETIR1803177.pdf

"ENGLISH CHARACTER RECOGNITION USING ANN WITH HOG FEATURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp934-941, March-2018, Available at : http://www.jetir.org/papers/JETIR1803177.pdf