Multiple Characters Matching in Document Image Using Handwriting Recoganization
Pinagadi Venkateswararao, S. Murugavalli · Indian Journal of Science and Technology · 2019
Objectives: To propose suitable system to filter the particular keyword in the document image. Methods/Statistical Analysis: Input image is pre-processed by using Gabor filtering. The preprocessed image is segmented by using segmentation free method. Then the feature extraction is done by using block based method. The Connectionist Temporal Classification (CTC) token passing calculation restores an arrangement of words from the lexicon. Then the word matching is performed by using normalized cross correlation. Findings: The performance of the proposed and existing methods are analysed with the help of word similarity, recognition accuracy, Recognition rate, computational time. Template matching method is utilized to discover and perceive the format picture which is found in the given info picture. Standardized cross connection techniques give precise outcome for the archive pictures. Application/Improvements: There are many applications such as data entry from printed paper data records, whether passport documents, invoices, bank statements, computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation. Keywords: Block Based Feature Extraction And Optical Character Recognition, Matching, Normalized Cross Correlation, Template Matching