Python program to recognize english digits and alphabets using KNN algorithm.

According to these features:

• [ 0] Aspect Ratio (double) 0 < x < 10
• [ 1] Intensity of ON pixels (double) 0 < x < 1
• [ 2] Percent of ON pixels above horizontal half (double) 0 < x < 1
• [ 3] Percent of ON pixels to right of vertical half (double) 0 < x < 1
• [ 4] Percent of ON pixels on vertical line (double) 0 < x < 1
• [ 5] Percent of ON pixels on horizontal line (double) 0 < x < 1
• [ 6] Mean X of ON pixels (double) 0 < x < 1
• [ 7] Mean Y of ON pixels (double) 0 < x < 1
• [ 8] Standard Deviation X of ON pixels / Width (double) 0 < x ~< 1
• [ 9] Standard Deviation Y of ON pixels / Height (double) 0 < x ~< 1
• [10] Vertical state Flips (int) 0 =< x <= 10
• [11] Horizontal state Flips (int) 0 =< x <= 10
• [12] Is reflected Y axis (Percent) (double) 0 < x < 1
• [13] Is reflected X axis (Percent) (double) 0 < x < 1

Test Results On '120' image with Train Set of '230' image: Cells represent percent of correct matches