Titlebook: Recent Trends in Image Processing and Pattern Recognition; Third International K. C. Santosh,Bharti Gawali Conference proceedings 2021 Spr

OATH

不透明性

MINU-EXTRACTNET: Automatic Latent Fingerprint Feature Extraction System Using Deep Convolutional Neuhods failed to produce good results because of the presence of background noise. To improve the performance, we propose a simple Deep Convolutional Neural Network (DCNN) model called ‘‘Minu-ExtractNet’’. Firstly, latent fingerprint pre-processing is implemented using a Convolutional Neural Network (

Biguanides

一大塊

Optimization of Face Retrieval and Real Time Face Recognition Systems Using Heuristic Indexingt matching patterns in the database or the input given to the real-time systems. This paper aims to demonstrate the impact of heuristic indexing in realtime face recognition and on face retrieval systems using face skin color and complexion. This paper also presents the comparison of face recognitio

觀點(diǎn)

Estimation of Human Age and Gender Based on LBP Features Using Two Level Decision by SVMdaily by Authorization agencies. Now a days Estimation of human age is a very significant characteristic in terms of identity authentication. In order to assess one’s individual age, selection of features from the human face is significant and vital with the perspective of experimental accuracy. Som

虛情假意

流動(dòng)性

Script Identification of Movie Titles from Postersobjects like images of actors, sceneries, different graphic symbols, several texts having disparate fonts, colors, textures, etc. Such a complex set of components makes it a challenging task in the automatic identification of the script of the movie titles for further processing. Before identifying

AGGER

Ensemble of Nested Dichotomies for Author Identification System Using Similarity-Based Textual Featuhe particular author of a respective piece of text. Every author has a unique style of writing based on the linguistic and stylistic study that helps in identifying one author from another. This paper aims to present an author identification technique that uses similarity-based textual features to t

絆住

用手捏

A Fast and Efficient Convolutional Neural Network for Fruit Recognition and Classificationep learning-based models make it possible to recognize complex images. This paper presents an efficient CNN based method that performs fruit recognition and classification. The data-set used is Fruits-360, which consists of simple and complex fruit images. A series of experiments are conducted to im