A robust algorithm for morphological, spatial image-filtering and character feature extraction and mapping employed for vehicle number plate recognition

2017 ◽  
Author(s):  
Rajshekhar Mukherjee ◽  
Amit Pundir ◽  
Dharmendra Mahato ◽  
Gaurav Bhandari ◽  
Geetika Jain Saxena
Keyword(s):  
Feature Extraction ◽  
Image Filtering ◽  
Robust Algorithm ◽  
Spatial Image ◽  
Character Feature

Handwritten Balinesse Character Recognition using K-Nearest Neighbor

2018 ◽  
Author(s):  
I Wayan Agus Surya Darma
Keyword(s):  
Feature Extraction ◽  
Success Rate ◽  
Character Recognition ◽  
Nearest Neighbor ◽  
Recognition System ◽  
Extraction Process ◽  
K Nearest Neighbor ◽  
Nearest Neighbor Algorithm ◽  
K Nearest Neighbor Algorithm ◽  
Character Feature

Balinese character recognition is a technique to recognize feature or pattern of Balinese character. Feature of Balinese character is generated through feature extraction process. This research using handwritten Balinese character. Feature extraction is a process to obtain the feature of character. In this research, feature extraction process generated semantic and direction feature of handwritten Balinese character. Recognition is using K-Nearest Neighbor algorithm to recognize 81 handwritten Balinese character. The feature of Balinese character images tester are compared with reference features. Result of the recognition system with K=3 and reference=10 is achieved a success rate of 97,53%.

scholarly journals Edge Oriented Spatial Image Filtering Technique

2011 ◽  
Vol 31 (2) ◽  
pp. 45-47
Author(s):  
Author N.Ramakrishna ◽  
Author Dr.V.S.Mallela
Keyword(s):  
Image Filtering ◽  
Spatial Image ◽  
Filtering Technique

scholarly journals Javanese Character Feature Extraction Based on Shape Energy

2017 ◽  
Vol 5 (1) ◽  
pp. 154-169 ◽  
Author(s):  
Galih Hendra Wibowo ◽  
Riyanto Sigit ◽  
Aliridho Barakbah
Keyword(s):  
Feature Extraction ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Performance Test ◽  
Test Results ◽  
K Nearest Neighbors ◽  
Method Performance ◽  
Feature Extraction Method ◽  
Character Feature ◽  
Better Than

Javanese character is one of Indonesia's noble culture, especially in Java. However, the number of Javanese people who are able to read the letter has decreased so that there need to be conservation efforts in the form of a system that is able to recognize the characters. One solution to these problem lies in Optical Character Recognition (OCR) studies, where one of its heaviest points lies in feature extraction which is to distinguish each character. Shape Energy is one of feature extraction method with the basic idea of how the character can be distinguished simply through its skeleton. Based on the basic idea, then the development of feature extraction is done based on its components to produce an angular histogram with various variations of multiples angle. Furthermore, the performance test of this method and its basic method is performed in Javanese character dataset, which has been obtained from various images, is 240 data with 19 labels by using K-Nearest Neighbors as its classification method. Performance values were obtained based on the accuracy which is generated through the Cross-Validation process of 80.83% in the angular histogram with an angle of 20 degrees, 23% better than Shape Energy. In addition, other test results show that this method is able to recognize rotated character with the lowest performance value of 86% at 180-degree rotation and the highest performance value of 96.97% at 90-degree rotation. It can be concluded that this method is able to improve the performance of Shape Energy in the form of recognition of Javanese characters as well as robust to the rotation.

A Scalable Neuromorphic Architecture to Efficiently Compute Spatial Image Filtering of High Image Resolution and Size

2019 ◽  
Vol 18 (02) ◽  
pp. 327-335
Author(s):  
Marco Abarca ◽  
Giovanny Sanchez ◽  
Luis Garcia ◽  
Juan Gerardo Avalos ◽  
Thania Frias ◽  
...  
Keyword(s):  
Image Filtering ◽  
Image Resolution ◽  
Spatial Image ◽  
High Image Resolution ◽  
Neuromorphic Architecture

A Scalable Neuromorphic Architecture to Efficiently Compute Spatial Image Filtering of High Image Resolution and Size

2020 ◽  
Vol 18 (02) ◽  
pp. 327-335
Author(s):  
Marco Abarca ◽  
Giovanny Sanchez ◽  
Luis Garcia ◽  
Juan Gerardo Avalos ◽  
Thania Frias ◽  
...  
Keyword(s):  
Image Filtering ◽  
Image Resolution ◽  
Spatial Image ◽  
High Image Resolution ◽  
Neuromorphic Architecture
Sign in / Sign up

Export Citation Format

Share Document