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What is common between Warren Buffett and Anurag Srivastava you ask? Certainly not their respective net worth! Both are passionate about philately. Philately is the study, collection, research and appreciation of postal stamps and other related items. The first adhesive postage stamp was invented by Sir Rowland Hill in 1837, an act for which he was knighted.

Anurag combined his hobby for stamp collection and technology to create a digital platform that parses through an image of a stamp and identifies their origin, authenticity, value and heritage. The application is being developed using Python 3.7.3 with the support of Convolutional Neural Network algorithms, Flask API, TensorFlow and Keras predefined library.

Currently, the application is being trained for country specific data, although it is designed to be used internationally.

R API Interface

CNN algorithms for stamp identification Testing data from (ind1852)


Dataset Example:-

Stamp dataset with appropriate name

Inside dataset have number of training data

After completing the dataset creation, we will populate the meta dataset which will translate and store the image features into corresponding numbers. This meta data will display the accuracy of the training data as well as test results from the training.

Data training with accuracy and validation result

After finishing with the training module, we will feed the system with sample data for evaluation. The parity of the sample images with that of the meta data will be displayed in decimals. So higher the parity, value will be closer to 1 or otherwise.

Testing with Australia 1982 stamp image

Test Results

We can see in the ‘Test Results’ that ratio of ‘australia1982’ is 0.998188 which is considerably greater than the rest of the datasets so the stamp is identified to be from Australia and produced in the year 1982.


Taha Shaikh

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