25 citations · 42 across the 6 of their papers we have counts for
6 papers
Statistical Texture Features based Handwritten and Printed Text Classification in South Indian Documents
Mallikarjun Hangarge, K. C. Santosh, Srikanth Doddamani +1
In this paper, we use statistical texture features for handwritten and printed text classification. We primarily aim for word level classification in south Indian scripts. Words ar…
Gaussian Mixture Model for Handwritten Script Identification
Mallikarjun Hangarge
This paper presents a Gaussian Mixture Model (GMM) to identify the script of handwritten words of Roman, Devanagari, Kannada and Telugu scripts. It emphasizes the significance of d…
Multi-font Multi-size Kannada Numeral Recognition Based on Structural Features
B. V. Dhandra, R. G. Benne, Mallikarjun Hangarge
In this paper a fast and novel method is proposed for multi-font multi-size Kannada numeral recognition which is thinning free and without size normalization approach. The differen…
A Single Euler Number Feature for Multi-font Multi-size Kannada Numeral Recognition
B. V. Dhandra, R. G. Benne, Mallikarjun Hangarge
In this paper a novel approach is proposed based on single Euler number feature which is free from thinning and size normalization for multi-font and multi-size Kannada numeral rec…
Spatial Features for Multi-Font/Multi-Size Kannada Numerals and Vowels Recognition
B. V. Dhandra, Mallikarjun Hangarge, Gururaj Mukarambi
This paper presents multi-font/multi-size Kannada numerals and vowels recognition based on spatial features. Directional spatial features viz stroke density, stroke length and the…
Morphological Reconstruction for Word Level Script Identification
B. V. Dhandra, Mallikarjun Hangarge
A line of a bilingual document page may contain text words in regional language and numerals in English. For Optical Character Recognition (OCR) of such a document page, it is nece…