Indian Coin Recognition System of Image Segmentation by Heuristic Approach and Houch Transform (HT)

The objective of this paper is to classify the Indian coins of different denomination released recently. This paper is framed mainly to classify the coins offered in the Hundi by the devotees of Tirumala Tirupati Devasthanam(TTD), Tirupati, India. The objective is to count money by recognizing the coins and count the total sum based on its value. The system is proposed to design coin recognition by applying heuristic approach, based on the coin table. This table stores parameters of each coin. This method yields 97% of result in recognizing the coin image. It is also proposed to apply HT algorithm combining the features of a) Straight line detection HT algorithm, b) Curve detection HT algorithm and c) Circle detection HT algorithm. Using these three algorithms edge of the coin is recognized. The features of old coins and new coins of different denominations are considered for classification. Some coins are used in different countries have same parameters, but it has different value. This paper concentrates on affine transformations such as simple gray level scaling, shearing, rotation etc. The coins are well recognized by zooming processes by which a coin size of the image is increased. This paper presents a coin recognition method with rotation invariance. Indian Coins are classified based on different parameters for various values of coin such as shape, size, surface