Titlebook: Recent Trends in Image Processing and Pattern Recognition; Second International K. C. Santosh,Ravindra S. Hegadi Conference proceedings 201

事物的方面

preservative

UHTelPCC: A Dataset for Telugu Printed Character Recognition characters extracted from images of printed Telugu texts from the period 1950–1990. Thus, it is hoped that the dataset provides the basis for developing practical Telugu OCR systems. UHTelPCC is to provide a standard benchmark for comparing different algorithms for Telugu OCR and helps in research

TSH582

能量守恒

Artistic Multi-character Script Identification Using Iterative Isotropic Dilation Algorithm artistic documents/images prepared with Bangla, Devanagari and Roman script have been used: one is real life artistic multi-character script image and another is synthetic artistic multi-character script image. After binarization using Otsu’s algorithm, some character images found to be broken into

Spinal-Tap

Recognition of Meitei Mayek Using Statistical Texture and Histogram Featuresch work on Meitei Mayek (Manipuri Script) recognition is still in the infant stage due to its intricate patterns and being a regional language. Moreover, the language has been reinstated recently, and there is no standard database available for research work. Therefore, we attempt to develop a recog

colostrum

Symbolic Approach for Word-Level Script Classification in Video Framess. In this work, we proposed a model for classification of South Indian multilingual word script extracted from video frames namely, Kannada, Tamil, Telugu, Malayalam and English. Firstly, we extracted Local Binary Pattern (LBP), Histogram of Oriented Gradients (HoG) and Gradient Local Auto-Correlat

GROWL

誘拐

Immunoglobulin

OnkoGan: Bangla Handwritten Digit Generation with Deep Convolutional Generative Adversarial Networkshas a different style of handwriting. So, facsimile anyone’s handwriting is a difficult task and it needs the strong ability of brain and practice. This paper is about this mimicry where an artificial system will do this by using Generative Adversarial Networks (GANs) [.]. GANs used in unsupervised

PHAG

Breaking News Recognition Using OCRgnificant role in journalism and multimedia image processing. Now a days it’s very challenging to isolate only breaking news from headlines due to overlapping of many categories of news, keeping all this in mind, a novel methodology is proposed in this paper for detecting specific text as a breaking