![]() Invariant moment features are extracted from the cut image and classified using quadratic classifier. If no vowel matra found, the image is cut by 20-30% from the bottom for detecting the presence of lower modifiers. Invariant moment features are extracted from the top region and from the side modifiers and classified using quadratic classifier for recognition of vowel matra. ![]() The middle region is further processed to detect and separate the side modifiers if any, for vowel recognition. Based on the Devanagiri characters shape analysis and data set, the whole image is split into top region image with information above the header line and middle region image with information below the header line. As the number of characters to be uniquely identified is very large, the proposed method aims at recognizing Marathi language Barakhadi characters by recognizing a vowel and a consonant separately. ![]() Very little work is happening on Marathi Barakhadi characters which are formed by the combination of one of the 12 vowels and 36 consonants resulting in 432 characters. Zonal moments based Handwritten Marathi Barakhadi recognitionĪbstract – Handwritten character recognition (HCR) is an important subset within the pattern recognition area.
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