111 citations · 230 across the 35 of their papers we have counts for
4 papers · 1 filter
Client-Driven Content Extraction Associated with Table
K. C. Santosh, Abdel Belaïd
The goal of the project is to extract content within table in document images based on learnt patterns. Real-world users i.e., clients first provide a set of key fields within the…
Stroke-Based Cursive Character Recognition
K. C. Santosh, E. Iwata
Human eye can see and read what is written or displayed either in natural handwriting or in printed format. The same work in case the machine does is called handwriting recognition…
Handwritten and Printed Text Separation in Real Document
Abdel Belaïd, K. C. Santosh, Vincent Poulain D'Andecy
The aim of the paper is to separate handwritten and printed text from a real document embedded with noise, graphics including annotations. Relying on run-length smoothing algorithm…
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…