English Character Recognition Using Robust Back Propagation Neural Network

2019 ◽  
pp. 216-227
Author(s):  
Shrinivas R. Zanwar ◽  
Abbhilasha S. Narote ◽  
Sandipan P. Narote
Keyword(s):  
Neural Network ◽  
Character Recognition ◽  
Back Propagation ◽  
Back Propagation Neural Network

scholarly journals License Plate Recognition with Feature Salience and Neural Network

2019 ◽  
Vol 8 (10) ◽  
pp. 2985-2990
Keyword(s):  
Neural Network ◽  
Character Recognition ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Recognition Algorithm ◽  
License Plate ◽  
License Plate Recognition ◽  
Core Component ◽  
Character Extraction ◽  
Recognition Result

Character recognition algorithm is considered as a core component of License Plate Recognition (LPR) systems. Numerous methods for License Plate (LP) recognition have been developed in recent years. However, most of them are not advanced enough to recognize in complex background and still demand improvement. This paper introduces a novel system for LPR by analyzing vehicle images. Accurate segmentation of license plate and character extraction from the plate is accomplished. In the plate segmentation module, Hough transform is put forwarded to identify plate edges using line segments. Radon transform adjusts the skew between LP and the viewer, thereby improve the recognition result. Four features are extracted from the LP image, and best features are selected using feature-salience theory. Histogram projection is performed horizontally and vertically to isolate individual characters in the LP. Finally, Back Propagation Neural Network (BPNN) is used to identify the characters present in the LP. From experimental results, it is evident that the proposed system can recognize LP more efficiently and establish a good background for future advancements in LPR.

scholarly journals PENERAPAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION DALAM PENGENALAN POLA AKSARA HANACARAKA

Respati ◽  
2017 ◽  
Vol 9 (27) ◽  
Author(s):  
Sugeng Winardi ◽  
Hamzah Hamzah
Keyword(s):  
Neural Network ◽  
Cultural Heritage ◽  
Character Recognition ◽  
Handwriting Recognition ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Cultural Property ◽  
Dance Culture ◽  
Backpropagation Method ◽  
High Recognition Accuracy

Heritage and cultural property in the State of Indonesia very much . Various cultures spread across the country both dance culture , tribe , language and so forth . Script Hanacaraka including one of the nation's cultural heritage , particularly amongst today's Java island endangered if no rescue .Using Backpropagation Neural Network method can be used to perform pattern recognition Hanacaraka script handwriting . As one method of back propagation neural network is widely used and proven reliable enough for character recognition and handwriting or for other image recognition . By applying the backpropagation method to recognize handwritten characters Hanaraka pattern , then from several different handwriting samples , is expected to be obtained results are quite high recognition accuracy . Application to the analysis of handwriting recognition Hanacaraka script was developed with C # software .The results of this study are also expected to be able to help preserve the character Hanacaraka as one of Indonesia 's cultural heritage by learning how to write the script Hanacaraka correctly . Keywords :  Hanacaraka Alphabeth , Neural Networks , Backpropagation

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