Artificially Intelligent Readers: An Adaptive Framework for Original Handwritten Numerical Digits Recognition with OCR Methods

Handwritten Digits Recognition

Handwritten digits recognition using OpenCV

The automated recognition of handwritten digits is a largely studied problem which connects the fields of Computer Vision and Machine Learning and has many applications in real life. In this project, I detail an introductory investigation of the performance of classification in several contexts. Namely, relying on the OpenCV implementations of k-Nearest Neighbor, Random Forests, and Support Vec...

An Improved Recognition Module for the Identification of Handwritten Digits

Optical Character Recognition (OCR), more specifically handwriting recognition, is a complex subject that has received much attention over the past 35 years. However, in spite of many years of research, optical readers that can recognize handwritten materials at a satisfactory rate are rare. Reasons for difficulty in reading hand-printed alphanumeric data include the variety of handwritten char...

Recognition of Handwritten Digits Using Deformable Models

Deformable models are used to recognize handwritten characters which have a great variety of handwriting styles. The overall character shape is modeled by a B-spline and individual pixels are modeled by Gaussian functions. Model parameters associated with the spline and the Gaussian functions, together with their relative strength, are estimated using Bayesian inference. Under such a Bayesian f...

recognition of handwritten farsi digits by shape matching

in this paper, we used a shape matching algorithm to recognize farsi digits. for each sampled point on the contour of a shape, we obtain a descriptor showing the distribution of the other points of the contour, with respect to this point. based on these descriptors, we find the corresponding points of the two contours and take the sum of their distances as a dissimilarity measure between two sh...