Coin Detection
INTRODUCTION
In all walks of life, machine automation is essential to make sophisticated approach to the mankind. Of course the machines cannot be replaced by human in exact recognition of coins. Nowadays, most of the work of the human is replaced by machines. The coin classification of various denominations and finding the sum of the coins is a tedious process. Coin counting machine is user friendly and makes customer operation a breeze. This machine is equipped with an operating system. This counting machine has a display and prompts the customer to operate the system. Coin sorting machine is attached with required number of tagged bags to collect appropriate denominations of coin.
The generally used coin recognition machines are used at weight measuring machines employed at railway stations ,food vending machines deployed at airports , stations, educational Institutions as per the power of the currency . The coin has always been ( since its introduction in the market) has been a symbol of small value trading. Thereby its importance increases with due consideration to the small scale traders and the people for daily uses.
Automatic machines are used for Coins classification and recognition to find the sum of the coin is quite complicate.
In this project , we propose a coin recognition method by radius parameter detection approach. The effectiveness of the coins classification is ensured based on the parameters of the coin. Moreover, the variations in images obtained from new and old coins are also discussed. The polar coordinate image of coin on circles with different radii is used as the feature for coin recognition. Finally, the knowledge base of the coin is fed to the recognition system to classify the coin easily. For a given coin, image is scanned and stored as gray values in a matrix. The intensity of the pixel is maximized. The heuristic approach is adapted to classify the coin after pre
In all walks of life, machine automation is essential to make sophisticated approach to the mankind. Of course the machines cannot be replaced by human in exact recognition of coins. Nowadays, most of the work of the human is replaced by machines. The coin classification of various denominations and finding the sum of the coins is a tedious process. Coin counting machine is user friendly and makes customer operation a breeze. This machine is equipped with an operating system. This counting machine has a display and prompts the customer to operate the system. Coin sorting machine is attached with required number of tagged bags to collect appropriate denominations of coin.
The generally used coin recognition machines are used at weight measuring machines employed at railway stations ,food vending machines deployed at airports , stations, educational Institutions as per the power of the currency . The coin has always been ( since its introduction in the market) has been a symbol of small value trading. Thereby its importance increases with due consideration to the small scale traders and the people for daily uses.
Automatic machines are used for Coins classification and recognition to find the sum of the coin is quite complicate.
In this project , we propose a coin recognition method by radius parameter detection approach. The effectiveness of the coins classification is ensured based on the parameters of the coin. Moreover, the variations in images obtained from new and old coins are also discussed. The polar coordinate image of coin on circles with different radii is used as the feature for coin recognition. Finally, the knowledge base of the coin is fed to the recognition system to classify the coin easily. For a given coin, image is scanned and stored as gray values in a matrix. The intensity of the pixel is maximized. The heuristic approach is adapted to classify the coin after pre