Handwritten Script Recognition Using DCT, Gabor Filter and Wavelet Features at Line Level
نویسندگان
چکیده
In a country like India where more number of scripts are in use, automatic identification of printed and handwritten script facilitates many important applications including sorting of document images and searching online archives of document images. In this paper, a multiple feature based approach is presented to identify the script type of the collection of handwritten documents. Eight popular Indian scripts are considered here. Features are extracted using Gabor filters, Discrete Cosine Transform, and Wavelets of Daubechies family. Experiments are performed to test the recognition accuracy of the proposed system at line level for bilingual scripts and later extended to trilingual scripts. We have obtained 100% recognition accuracy for bi-scripts at line level. The classification is done using knearest neighbour classifier.
منابع مشابه
Handwritten Script Identification from a Bi-Script Document at Line Level using Gabor Filters
In a country like India where more number of scripts are in use, automatic identification of printed and handwritten script facilitates many important applications including sorting of document images and searching online archives of document images. In this paper, a Gabor feature based approach is presented to identify different Indian scripts from handwritten document images. Eight popular In...
متن کاملHandwritten Script recognition using Soft Computing
Today, handwritten script recognition is challenging part in the computer science. It is important to know a script used in writing. Script recognitions have many important applications like automatic transcription of multilingual documents, searching document image, script sorting. Proposed work emphasis on the “block level technique” where script recognition recognizes the script of the given...
متن کاملGabor Features Based Script Identification of Lines within a Bilingual/Trilingual Document
The OCR technology for Indian documents is in emerging stage and most of these Indian OCR systems can read the documents written in only a single script. As many commercial and official documents of different states of India are tri-lingual in nature, therefore identification of script and/ or language is one of the elementary tasks for multi-script document recognition. A script recognizer sim...
متن کاملA Multiple Feature based Novel Approach for Identification of Printed Indian Scripts at Word Level
In a country like India where different scripts are in use, automatic identification of printed script facilitates many important applications such as automatic transcription of multilingual documents and for the selection of script specific OCR in a multilingual environment. In this paper a novel method to identify the script type of the collection of documents printed in seven Indian language...
متن کاملArabic handwritten script recognition system based on HOG and gabor features
Considered as among the most thriving applications in the pattern recognition field, handwriting recognition, despite being quite matured, it still raises so many research questions which are a challenge for the Arabic Handwritten Script. In this paper, we investigate Support Vector Machines (SVM) for Arabic Handwritten Script recognition. The proposed method takes the handcrafted feature as in...
متن کامل