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- W3159199008 abstract "The current implementation of the paper help the visually impaired to select the cloths and independent in their decision. The application could be matches the cloths based on the dominating color. But, clothing pattern and color recognizing is a major problem due to illumination, rotation, scaling, and large intra-class pattern variations. In order to provide easy way to identify the cloth color and its patterned we focused on the improvement in the feature learning that can be achieve by integrating the Deep Super Learning method with Convolutional Neural Network (DSL-CNN) is used for getting voice input for visually impaired person, Voice application was developed , which is the voice can tell about the color and its pattern and details about the cloth which is helpful to the blind people. Recognized color is matched by open CV python programming code. To implement this we used 1000 images of data base was created from that Then pick the clothes based on color recognition and display image from that it is possible to get information about cloth details in the form of voice .In this, the DSL algorithm enhances the learning model by extracting the best combination between the neurons to get the clear features of an object. This form of feature learning and detection method improves the accuracy in better rate than other traditional detection methods." @default.
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- W3159199008 date "2020-01-01" @default.
- W3159199008 modified "2023-09-26" @default.
- W3159199008 title "An Identification of Automatic Clothing Pattern and Color Recognition through Voice Recognitionfor Visually impaired people" @default.
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