Handwritten Digit Recognition on Document Images using Machine Learning Methods

Expert in Matlab, Simulink, Signal Processing, Image Processing, Computer Vision in Machine Learning. Artificial Neural Network, Convolutional Neural Network. Professional Electronics engineer here I have 39 years of experience

I have many image proecssing experience. First of all, i am ocr expert(in ocr, image calibration, image segmentation, layout detection, blob detection, link component detection, cropping charractor, finally, character recognition). OCR programs are document recognition, car plate recognition, container number recognition, meter recognition and car ocr and so on. Secondly, i am object detection expert. In this, we develope ada-boosting learner, (haar, hog feature), and detector. and we develop tracking(optical flow, templating matching, meanshift, and so on). Especially, we have electron policy system(car detection and recognition, lane detection, signal lamp detection ...). Thirdly, we have many image processing programs(people counting, face detection and recognition, log detetion and so on.)

Hi, I'm working in machine learning field for last 1 year and I really like exploring this field as much as possible, I've worked on various projects (handwritten digits recognition also) and participated in various hackathons. I'd like to contribute to this project. Hope to have a chat to get more details.

Hi there, I would like to be considered for your project. I have 3+ years of experience in Machine Learning. I will write the needed codes in Python. Kindly check the proposed milestones. I'll be glad to help. Best regards, Andrew

Dear Sir, Iam expert in both Matlab and python and have a good experience in openCV and also made handwritten digits recognition using ANN in both Matlab and python. to be honest didn.t make Feature extraction before the ANN as the ANN finds it alone. Have good day Thanks Best Regads Hany Aly

I can implement this using Neural Networks(of your choice) and logistic regression. My Bachelor's degree project was one Deep learning and I can finish this easily. I have also worked with MNIST dataset for recognizing the handwritten digits.

A proposal has not yet been provided

We have developed Deep Learning projects that can recognize handwriiten marks on document images. We have developed the solutions using Convolutional Neural Networks and enhanced the results using Inception models and LSTM. We have a team of four developers experienced with development of Machine learning software. I have done my PhD in Machine Learning "Development of an integrated machine learning system and its application to generate intelligent tutoring systems'". This was in 1994.

Hi I am a master student in computer engineering focusing on computer vision and deep learning. Could you please share with me a little more detail about what do you need in your project. For example, do you need the only classification using HOG features or you need deep learning features. I am able to do both of them if you need. Kind Regards, Omid

worked on a project that involved MNIST handwritten datasets, which represented numbers. with the help of deep learning , adjusting the parameters to find the optimum fit on both the training , test dataset. this project seems similar and thus i would be able to contribute with my full potential