{'fraction_non_alphanumeric': 0.020763563295378432, 'fraction_numerical': 0.0, 'mean_word_length': 5.122950819672131, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Flower information retrieval using color feature and location-based system

Mobile phones have currently become an essential part of human's social life because of their potential benefits in communication. There are many useful services that have already been provided by mobile phones, such as the personal digital assistant function that allows users to effectively manage their daily tasks, alarm clock, emails, instant messaging, camera and windows media, etc. That's why most people carry their mobile phones everywhere with them. Besides the common features that currently are available on mobile phones, it would be nice if they could integrate more capabilities, especially the capability of image recognition. One of the benefits that 'mobile image recognition' can bring to us is that in our life sometimes we can't remember or retrieve the name of some places, fruits, herbs, flowers and these sort of things. For instance, when we approach a flower, we observe it and we become curious and then we want to find some information about that flower. This can be accomplished by using an image recognition service on our mobile phones. Therefore, the challenge of this research is to develop a mobile application that utilizes the camera feature on the mobile phone which is integrated with SOA-Services Oriented Architecture through the internet network. Moreover, we also improve recognition accuracy and provide fast image searching using the GPS to categorize the data as indexed.